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Update SciFact URL
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2021-01-26T02:49:06Z
https://api.github.com/repos/huggingface/datasets/issues/1780/comments
Hi, I'm following up this [issue](https://github.com/huggingface/datasets/issues/1717). I'm the SciFact dataset creator, and I'm trying to update the SciFact data url in your repo. Thanks again for adding the dataset! Basically, I'd just like to change the `_URL` to `"https://scifact.s3-us-west-2.amazonaws.com/release/latest/data.tar.gz"`. I changed `scifact.py` appropriately and tried running ``` python datasets-cli test datasets/scifact --save_infos --all_configs ``` which I was hoping would update the `dataset_infos.json` for SciFact. But for some reason the code still seems to be looking for the old version of the dataset. Full stack trace below. I've tried to clear all my Huggingface-related caches, and I've `git grep`'d to make sure that the old path to the dataset isn't floating around somewhere. So I'm not sure why this is happening? Can you help me switch the download URL? ``` (datasets) $ python datasets-cli test datasets/scifact --save_infos --all_configs Checking datasets/scifact/scifact.py for additional imports. Found main folder for dataset datasets/scifact/scifact.py at /Users/dwadden/.cache/huggingface/modules/datasets_modules/datasets/scifact Found specific version folder for dataset datasets/scifact/scifact.py at /Users/dwadden/.cache/huggingface/modules/datasets_modules/datasets/scifact/2b43b4e125ce3369da7d6353961d9d315e6593f24cc7bbe9ede5e5c911d11534 Found script file from datasets/scifact/scifact.py to /Users/dwadden/.cache/huggingface/modules/datasets_modules/datasets/scifact/2b43b4e125ce3369da7d6353961d9d315e6593f24cc7bbe9ede5e5c911d11534/scifact.py Found dataset infos file from datasets/scifact/dataset_infos.json to /Users/dwadden/.cache/huggingface/modules/datasets_modules/datasets/scifact/2b43b4e125ce3369da7d6353961d9d315e6593f24cc7bbe9ede5e5c911d11534/dataset_infos.json Found metadata file for dataset datasets/scifact/scifact.py at /Users/dwadden/.cache/huggingface/modules/datasets_modules/datasets/scifact/2b43b4e125ce3369da7d6353961d9d315e6593f24cc7bbe9ede5e5c911d11534/scifact.json Loading Dataset Infos from /Users/dwadden/.cache/huggingface/modules/datasets_modules/datasets/scifact/2b43b4e125ce3369da7d6353961d9d315e6593f24cc7bbe9ede5e5c911d11534 Testing builder 'corpus' (1/2) Generating dataset scifact (/Users/dwadden/.cache/huggingface/datasets/scifact/corpus/1.0.0/2b43b4e125ce3369da7d6353961d9d315e6593f24cc7bbe9ede5e5c911d11534) Downloading and preparing dataset scifact/corpus (download: 2.72 MiB, generated: 7.63 MiB, post-processed: Unknown size, total: 10.35 MiB) to /Users/dwadden/.cache/huggingface/datasets/scifact/corpus/1.0.0/2b43b4e125ce3369da7d6353961d9d315e6593f24cc7bbe9ede5e5c911d11534... Downloading took 0.0 min Checksum Computation took 0.0 min Traceback (most recent call last): File "/Users/dwadden/proj/datasets/datasets-cli", line 36, in <module> service.run() File "/Users/dwadden/proj/datasets/src/datasets/commands/test.py", line 139, in run builder.download_and_prepare( File "/Users/dwadden/proj/datasets/src/datasets/builder.py", line 562, in download_and_prepare self._download_and_prepare( File "/Users/dwadden/proj/datasets/src/datasets/builder.py", line 622, in _download_and_prepare verify_checksums( File "/Users/dwadden/proj/datasets/src/datasets/utils/info_utils.py", line 32, in verify_checksums raise ExpectedMoreDownloadedFiles(str(set(expected_checksums) - set(recorded_checksums))) datasets.utils.info_utils.ExpectedMoreDownloadedFiles: {'https://ai2-s2-scifact.s3-us-west-2.amazonaws.com/release/2020-05-01/data.tar.gz'} ```
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Ignore definition line number of functions for caching
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2021-01-25T16:42:29Z
https://api.github.com/repos/huggingface/datasets/issues/1779/comments
As noticed in #1718 , when a function used for processing with `map` is moved inside its python file, then the change of line number causes the caching mechanism to consider it as a different function. Therefore in this case, it recomputes everything. This is because we were not ignoring the line number definition for such functions (even though we're doing it for lambda functions). For example this code currently prints False: ```python from datasets.fingerprint import Hasher # define once def foo(x): return x h = Hasher.hash(foo) # define a second time elsewhere def foo(x): return x print(h == Hasher.hash(foo)) ``` I changed this by ignoring the line number for all functions.
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Narrative QA Manual
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2021-01-25T15:22:31Z
https://api.github.com/repos/huggingface/datasets/issues/1778/comments
Submitting the manual version of Narrative QA script which requires a manual download from the original repository
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GPT2 MNLI training using run_glue.py
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Edit: I'm closing this because I actually meant to post this in `transformers `not `datasets` Running this on Google Colab, ``` !python run_glue.py \ --model_name_or_path gpt2 \ --task_name mnli \ --do_train \ --do_eval \ --max_seq_length 128 \ --per_gpu_train_batch_size 10 \ --gradient_accumulation_steps 32\ --learning_rate 2e-5 \ --num_train_epochs 3.0 \ --output_dir models/gpt2/mnli/ ``` I get the following error, ``` "Asking to pad but the tokenizer does not have a padding token. " ValueError: Asking to pad but the tokenizer does not have a padding token. Please select a token to use as `pad_token` `(tokenizer.pad_token = tokenizer.eos_token e.g.)` or add a new pad token via `tokenizer.add_special_tokens({'pad_token': '[PAD]'})`. ``` Do I need to modify the trainer to work with GPT2 ?
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[Question & Bug Report] Can we preprocess a dataset on the fly?
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I know we can use `Datasets.map` to preprocess a dataset, but I'm using it with very large corpus which generates huge cache file (several TB cache from a 400 GB text file). I have no disk large enough to save it. Can we preprocess a dataset on the fly without generating cache? BTW, I tried raising `writer_batch_size`. Seems that argument doesn't have any effect when it's larger than `batch_size`, because you are saving all the batch instantly after it's processed. Please check the following code: https://github.com/huggingface/datasets/blob/0281f9d881f3a55c89aeaa642f1ba23444b64083/src/datasets/arrow_dataset.py#L1532
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Efficient ways to iterate the dataset
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For a large dataset that does not fits the memory, how can I select only a subset of features from each example? If I iterate over the dataset and then select the subset of features one by one, the resulted memory usage will be huge. Any ways to solve this? Thanks
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is it possible to make slice to be more compatible like python list and numpy?
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https://api.github.com/repos/huggingface/datasets/issues/1774/comments
Hi, see below error: ``` AssertionError: Requested slice [:10000000000000000] incompatible with 20 examples. ```
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https://api.github.com/repos/huggingface/datasets/issues/1773
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2021-09-06T08:54:46Z
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https://github.com/huggingface/datasets/issues/1773
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bug in loading datasets
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MDU6SXNzdWU3OTI3MDgxNjA=
null
2021-01-24T02:53:45Z
https://api.github.com/repos/huggingface/datasets/issues/1773/comments
Hi, I need to load a dataset, I use these commands: ``` from datasets import load_dataset dataset = load_dataset('csv', data_files={'train': 'sick/train.csv', 'test': 'sick/test.csv', 'validation': 'sick/validation.csv'}) print(dataset['validation']) ``` the dataset in sick/train.csv are simple csv files representing the data. I am getting this error, do you have an idea how I can solve this? thank you @lhoestq ``` Using custom data configuration default Downloading and preparing dataset csv/default-61468fc71a743ec1 (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /julia/cache_home_2/datasets/csv/default-61468fc71a743ec1/0.0.0/2960f95a26e85d40ca41a230ac88787f715ee3003edaacb8b1f0891e9f04dda2... Traceback (most recent call last): File "/julia/libs/anaconda3/envs/success/lib/python3.7/site-packages/datasets-1.2.0-py3.7.egg/datasets/builder.py", line 485, in incomplete_dir yield tmp_dir File "/julia/libs/anaconda3/envs/success/lib/python3.7/site-packages/datasets-1.2.0-py3.7.egg/datasets/builder.py", line 527, in download_and_prepare dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs File "/julia/libs/anaconda3/envs/success/lib/python3.7/site-packages/datasets-1.2.0-py3.7.egg/datasets/builder.py", line 604, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/julia/libs/anaconda3/envs/success/lib/python3.7/site-packages/datasets-1.2.0-py3.7.egg/datasets/builder.py", line 959, in _prepare_split for key, table in utils.tqdm(generator, unit=" tables", leave=False, disable=not_verbose): File "/julia/libs/anaconda3/envs/success/lib/python3.7/site-packages/tqdm-4.49.0-py3.7.egg/tqdm/std.py", line 1133, in __iter__ for obj in iterable: File "/julia/cache_home_2/modules/datasets_modules/datasets/csv/2960f95a26e85d40ca41a230ac88787f715ee3003edaacb8b1f0891e9f04dda2/csv.py", line 129, in _generate_tables for batch_idx, df in enumerate(csv_file_reader): File "/julia/libs/anaconda3/envs/success/lib/python3.7/site-packages/pandas-1.2.0-py3.7-linux-x86_64.egg/pandas/io/parsers.py", line 1029, in __next__ return self.get_chunk() File "/julia/libs/anaconda3/envs/success/lib/python3.7/site-packages/pandas-1.2.0-py3.7-linux-x86_64.egg/pandas/io/parsers.py", line 1079, in get_chunk return self.read(nrows=size) File "/julia/libs/anaconda3/envs/success/lib/python3.7/site-packages/pandas-1.2.0-py3.7-linux-x86_64.egg/pandas/io/parsers.py", line 1052, in read index, columns, col_dict = self._engine.read(nrows) File "/julia/libs/anaconda3/envs/success/lib/python3.7/site-packages/pandas-1.2.0-py3.7-linux-x86_64.egg/pandas/io/parsers.py", line 2056, in read data = self._reader.read(nrows) File "pandas/_libs/parsers.pyx", line 756, in pandas._libs.parsers.TextReader.read File "pandas/_libs/parsers.pyx", line 783, in pandas._libs.parsers.TextReader._read_low_memory File "pandas/_libs/parsers.pyx", line 827, in pandas._libs.parsers.TextReader._read_rows File "pandas/_libs/parsers.pyx", line 814, in pandas._libs.parsers.TextReader._tokenize_rows File "pandas/_libs/parsers.pyx", line 1951, in pandas._libs.parsers.raise_parser_error pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 37, saw 2 During handling of the above exception, another exception occurred: Traceback (most recent call last): File "write_sick.py", line 19, in <module> 'validation': 'sick/validation.csv'}) File "/julia/libs/anaconda3/envs/success/lib/python3.7/site-packages/datasets-1.2.0-py3.7.egg/datasets/load.py", line 612, in load_dataset ignore_verifications=ignore_verifications, File "/julia/libs/anaconda3/envs/success/lib/python3.7/site-packages/datasets-1.2.0-py3.7.egg/datasets/builder.py", line 534, in download_and_prepare self._save_info() File "/julia/libs/anaconda3/envs/success/lib/python3.7/contextlib.py", line 130, in __exit__ self.gen.throw(type, value, traceback) File "/julia/libs/anaconda3/envs/success/lib/python3.7/site-packages/datasets-1.2.0-py3.7.egg/datasets/builder.py", line 491, in incomplete_dir shutil.rmtree(tmp_dir) File "/julia/libs/anaconda3/envs/success/lib/python3.7/shutil.py", line 498, in rmtree onerror(os.rmdir, path, sys.exc_info()) File "/julia/libs/anaconda3/envs/success/lib/python3.7/shutil.py", line 496, in rmtree os.rmdir(path) OSError: [Errno 39] Directory not empty: '/julia/cache_home_2/datasets/csv/default-61468fc71a743ec1/0.0.0/2960f95a26e85d40ca41a230ac88787f715ee3003edaacb8b1f0891e9f04dda2.incomplete' ```
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2021-02-05T15:49:25Z
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https://github.com/huggingface/datasets/issues/1772
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Adding SICK dataset
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MDU6SXNzdWU3OTI3MDM3OTc=
null
2021-01-24T02:15:31Z
https://api.github.com/repos/huggingface/datasets/issues/1772/comments
Hi It would be great to include SICK dataset. ## Adding a Dataset - **Name:** SICK - **Description:** a well known entailment dataset - **Paper:** http://marcobaroni.org/composes/sick.html - **Data:** http://marcobaroni.org/composes/sick.html - **Motivation:** this is an important NLI benchmark Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md). thanks
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2021-01-24T23:06:29Z
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Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.1/datasets/csv/csv.py
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MDU6SXNzdWU3OTI3MDEyNzY=
null
2021-01-24T01:53:52Z
https://api.github.com/repos/huggingface/datasets/issues/1771/comments
Hi, When I load_dataset from local csv files, below error happened, looks raw.githubusercontent.com was blocked by the chinese government. But why it need to download csv.py? should it include when pip install the dataset? ``` Traceback (most recent call last): File "/home/tom/pyenv/pystory/lib/python3.6/site-packages/datasets/load.py", line 267, in prepare_module local_path = cached_path(file_path, download_config=download_config) File "/home/tom/pyenv/pystory/lib/python3.6/site-packages/datasets/utils/file_utils.py", line 343, in cached_path max_retries=download_config.max_retries, File "/home/tom/pyenv/pystory/lib/python3.6/site-packages/datasets/utils/file_utils.py", line 617, in get_from_cache raise ConnectionError("Couldn't reach {}".format(url)) ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.1/datasets/csv/csv.py ```
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2022-06-01T15:43:15Z
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https://github.com/huggingface/datasets/issues/1770
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how can I combine 2 dataset with different/same features?
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MDU6SXNzdWU3OTI2OTgxNDg=
null
2021-01-24T01:26:06Z
https://api.github.com/repos/huggingface/datasets/issues/1770/comments
to combine 2 dataset by one-one map like ds = zip(ds1, ds2): ds1: {'text'}, ds2: {'text'}, combine ds:{'src', 'tgt'} or different feature: ds1: {'src'}, ds2: {'tgt'}, combine ds:{'src', 'tgt'}
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2022-10-05T12:38:51Z
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_pickle.PicklingError: Can't pickle typing.Union[str, NoneType]: it's not the same object as typing.Union when calling datasets.map with num_proc=2
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MDU6SXNzdWU3OTI1MjMyODQ=
null
2021-01-23T10:13:00Z
https://api.github.com/repos/huggingface/datasets/issues/1769/comments
It may be a bug of multiprocessing with Datasets, when I disable the multiprocessing by set num_proc to None, everything works fine. The script I use is https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm_wwm.py Script args: ``` --model_name_or_path ../../../model/chinese-roberta-wwm-ext --train_file /nfs/volume-377-2/bert/data/test/train.txt --output_dir test --do_train --per_device_train_batch_size 2 --gradient_accumulation_steps 2 --learning_rate 1e-4 --max_steps 1000 --warmup_steps 10 --save_steps 1000 --save_total_limit 1 --seed 23333 --max_seq_length 512 --preprocessing_num_workers 2 --cache_dir /nfs/volume-377-2/bert/data/test/cache ``` Where the `/nfs/volume-377-2/bert/data/test/train.txt` is just a toy example with 10000 lines of random string, you should be able to reproduce this error esaily. Full Traceback: ``` Traceback (most recent call last): File "/nfs/volume-377-2/bert/transformers/examples/language-modeling/run_mlm_wwm.py", line 398, in <module> main() File "/nfs/volume-377-2/bert/transformers/examples/language-modeling/run_mlm_wwm.py", line 325, in main load_from_cache_file=not data_args.overwrite_cache, File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/datasets/dataset_dict.py", line 303, in map for k, dataset in self.items() File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/datasets/dataset_dict.py", line 303, in <dictcomp> for k, dataset in self.items() File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/datasets/arrow_dataset.py", line 1318, in map transformed_shards = [r.get() for r in results] File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/datasets/arrow_dataset.py", line 1318, in <listcomp> transformed_shards = [r.get() for r in results] File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/multiprocess/pool.py", line 644, in get raise self._value File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/multiprocess/pool.py", line 424, in _handle_tasks put(task) File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/multiprocess/connection.py", line 209, in send self._send_bytes(_ForkingPickler.dumps(obj)) File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/multiprocess/reduction.py", line 54, in dumps cls(buf, protocol, *args, **kwds).dump(obj) File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/dill/_dill.py", line 446, in dump StockPickler.dump(self, obj) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 409, in dump self.save(obj) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 476, in save f(self, obj) # Call unbound method with explicit self File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 751, in save_tuple save(element) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 476, in save f(self, obj) # Call unbound method with explicit self File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/dill/_dill.py", line 933, in save_module_dict StockPickler.save_dict(pickler, obj) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 821, in save_dict self._batch_setitems(obj.items()) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 847, in _batch_setitems save(v) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 476, in save f(self, obj) # Call unbound method with explicit self File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/dill/_dill.py", line 1438, in save_function obj.__dict__, fkwdefaults), obj=obj) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 610, in save_reduce save(args) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 476, in save f(self, obj) # Call unbound method with explicit self File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 751, in save_tuple save(element) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 476, in save f(self, obj) # Call unbound method with explicit self File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 736, in save_tuple save(element) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 476, in save f(self, obj) # Call unbound method with explicit self File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/dill/_dill.py", line 1170, in save_cell pickler.save_reduce(_create_cell, (f,), obj=obj) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 610, in save_reduce save(args) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 476, in save f(self, obj) # Call unbound method with explicit self File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 736, in save_tuple save(element) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 521, in save self.save_reduce(obj=obj, *rv) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 605, in save_reduce save(cls) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 476, in save f(self, obj) # Call unbound method with explicit self File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/dill/_dill.py", line 1365, in save_type obj.__bases__, _dict), obj=obj) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 610, in save_reduce save(args) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 476, in save f(self, obj) # Call unbound method with explicit self File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 751, in save_tuple save(element) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 476, in save f(self, obj) # Call unbound method with explicit self File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/dill/_dill.py", line 933, in save_module_dict StockPickler.save_dict(pickler, obj) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 821, in save_dict self._batch_setitems(obj.items()) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 847, in _batch_setitems save(v) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 476, in save f(self, obj) # Call unbound method with explicit self File "/home/luban/miniconda3/envs/py36/lib/python3.6/site-packages/dill/_dill.py", line 933, in save_module_dict StockPickler.save_dict(pickler, obj) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 821, in save_dict self._batch_setitems(obj.items()) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 847, in _batch_setitems save(v) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 507, in save self.save_global(obj, rv) File "/home/luban/miniconda3/envs/py36/lib/python3.6/pickle.py", line 927, in save_global (obj, module_name, name)) _pickle.PicklingError: Can't pickle typing.Union[str, NoneType]: it's not the same object as typing.Union ```
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Mention kwargs in the Dataset Formatting docs
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2021-01-22T16:43:20Z
https://api.github.com/repos/huggingface/datasets/issues/1768/comments
Hi, This was discussed in Issue #1762 where the docs didn't mention that keyword arguments to `datasets.Dataset.set_format()` are allowed. To prevent people from having to check the code/method docs, I just added a couple of lines in the docs. Please let me know your thoughts on this. Thanks, Gunjan @lhoestq
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2021-01-25T20:38:07Z
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Add Librispeech ASR
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2021-01-22T14:54:37Z
https://api.github.com/repos/huggingface/datasets/issues/1767/comments
This PR adds the librispeech asr dataset: https://www.tensorflow.org/datasets/catalog/librispeech There are 2 configs: "clean" and "other" whereas there are two "train" datasets for "clean", hence the name "train.100" and "train.360". As suggested by @lhoestq, due to the enormous size of the dataset in `.arrow` format, the speech files are not directly prepared to a float32-array, but instead just the path to the array file is stored.
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Issues when run two programs compute the same metrics
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2021-01-22T14:22:55Z
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I got the following error when running two different programs that both compute sacreblue metrics. It seems that both read/and/write to the same location (.cache/huggingface/metrics/sacrebleu/default/default_experiment-1-0.arrow) where it caches the batches: ``` File "train_matching_min.py", line 160, in <module>ch_9_label avg_loss = valid(epoch, args.batch, args.validation, args.with_label) File "train_matching_min.py", line 93, in valid bleu += eval.compute() File "/u/tlhoang/projects/seal/match/models/eval.py", line 23, in compute return self.metric.compute()['score'] File "/dccstor/know/anaconda3/lib/python3.7/site-packages/datasets/metric.py", line 387, in compute self._finalize() File "/dccstor/know/anaconda3/lib/python3.7/site-packages/datasets/metric.py", line 355, in _finalize self.data = Dataset(**reader.read_files([{"filename": f} for f in file_paths])) File "/dccstor/know/anaconda3/lib/python3.7/site-packages/datasets/arrow_reader.py", line 231, in read_files pa_table = self._read_files(files) File "/dccstor/know/anaconda3/lib/python3.7/site-packages/datasets/arrow_reader.py", line 170, in _read_files pa_table: pa.Table = self._get_dataset_from_filename(f_dict) File "/dccstor/know/anaconda3/lib/python3.7/site-packages/datasets/arrow_reader.py", line 299, in _get_dataset_from_filename pa_table = f.read_all() File "pyarrow/ipc.pxi", line 481, in pyarrow.lib.RecordBatchReader.read_all File "pyarrow/error.pxi", line 84, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: Expected to read 1819307375 metadata bytes, but only read 454396 ```
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2022-10-28T02:16:38Z
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Error iterating over Dataset with DataLoader
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2021-01-21T22:56:45Z
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I have a Dataset that I've mapped a tokenizer over: ``` encoded_dataset.set_format(type='torch',columns=['attention_mask','input_ids','token_type_ids']) encoded_dataset[:1] ``` ``` {'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]), 'input_ids': tensor([[ 101, 178, 1198, 1400, 1714, 22233, 21365, 4515, 8618, 1113, 102]]), 'token_type_ids': tensor([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])} ``` When I try to iterate as in the docs, I get errors: ``` dataloader = torch.utils.data.DataLoader(encoded_dataset, batch_sampler=32) next(iter(dataloader)) ``` ``` --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-45-05180ba8aa35> in <module>() 1 dataloader = torch.utils.data.DataLoader(encoded_dataset, batch_sampler=32) ----> 2 next(iter(dataloader)) 3 frames /usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py in __init__(self, loader) 411 self._timeout = loader.timeout 412 self._collate_fn = loader.collate_fn --> 413 self._sampler_iter = iter(self._index_sampler) 414 self._base_seed = torch.empty((), dtype=torch.int64).random_(generator=loader.generator).item() 415 self._persistent_workers = loader.persistent_workers TypeError: 'int' object is not iterable ```
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Connection Issues
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2021-01-21T20:56:09Z
https://api.github.com/repos/huggingface/datasets/issues/1764/comments
Today, I am getting connection issues while loading a dataset and the metric. ``` Traceback (most recent call last): File "src/train.py", line 180, in <module> train_dataset, dev_dataset, test_dataset = create_race_dataset() File "src/train.py", line 130, in create_race_dataset train_dataset = load_dataset("race", "all", split="train") File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/load.py", line 591, in load_dataset path, script_version=script_version, download_config=download_config, download_mode=download_mode, dataset=True File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/load.py", line 267, in prepare_module local_path = cached_path(file_path, download_config=download_config) File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 343, in cached_path max_retries=download_config.max_retries, File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 617, in get_from_cache raise ConnectionError("Couldn't reach {}".format(url)) ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.1/datasets/race/race.py ``` Or ``` Traceback (most recent call last): File "src/train.py", line 105, in <module> rouge = datasets.load_metric("rouge") File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/load.py", line 500, in load_metric dataset=False, File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/load.py", line 267, in prepare_module local_path = cached_path(file_path, download_config=download_config) File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 343, in cached_path max_retries=download_config.max_retries, File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 617, in get_from_cache raise ConnectionError("Couldn't reach {}".format(url)) ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.1/metrics/rouge/rouge.py ```
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PAWS-X: Fix csv Dictreader splitting data on quotes
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2021-01-21T18:21:01Z
https://api.github.com/repos/huggingface/datasets/issues/1763/comments
```python from datasets import load_dataset # load english paws-x dataset datasets = load_dataset('paws-x', 'en') print(len(datasets['train'])) # outputs 49202 but official dataset has 49401 pairs print(datasets['train'].unique('label')) # outputs [1, 0, -1] but labels are binary [0,1] ``` changed `data = csv.DictReader(f, delimiter="\t")` to `data = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)` in the dataloader to make csv module not split by quotes. The results are as expected for all languages after the change.
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Unable to format dataset to CUDA Tensors
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2021-01-21T15:31:23Z
https://api.github.com/repos/huggingface/datasets/issues/1762/comments
Hi, I came across this [link](https://huggingface.co/docs/datasets/torch_tensorflow.html) where the docs show show to convert a dataset to a particular format. I see that there is an option to convert it to tensors, but I don't see any option to convert it to CUDA tensors. I tried this, but Dataset doesn't support assignment: ``` columns=['input_ids', 'token_type_ids', 'attention_mask', 'start_positions','end_positions'] samples.set_format(type='torch', columns = columns) for column in columns: samples[column].to(torch.device(self.config.device)) ``` There should be an option to do so, or if there is already a way to do this, please let me know. Thanks, Gunjan
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Add SILICONE benchmark
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2021-01-21T14:29:12Z
https://api.github.com/repos/huggingface/datasets/issues/1761/comments
My collaborators and I within the Affective Computing team at Telecom Paris would like to re-submit our spoken dialogue dataset for publication. This is a new pull request relative to the [previously closed request](https://github.com/huggingface/datasets/pull/1712) which was reviewed by @lhoestq.
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More tags
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2021-01-21T13:50:10Z
https://api.github.com/repos/huggingface/datasets/issues/1760/comments
Since the hub v2 is going to be released soon I figured it would be great to add the missing tags at least for some of the datasets of reference listed [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#write-the-loadingprocessing-code)
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2021-01-21T17:22:11Z
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wikipedia dataset incomplete
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2021-01-21T11:47:15Z
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Hey guys, I am using the https://github.com/huggingface/datasets/tree/master/datasets/wikipedia dataset. Unfortunately, I found out that there is an incompleteness for the German dataset. For reasons unknown to me, the number of inhabitants has been removed from many pages: Thorey-sur-Ouche has 128 inhabitants according to the webpage (https://de.wikipedia.org/wiki/Thorey-sur-Ouche). The pickle file however shows: französische Gemeinde mit Einwohnern (Stand). Is it possible to fix this? Best regards Chris
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dataset.search() (elastic) cannot reliably retrieve search results
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2021-01-21T02:26:37Z
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I am trying to use elastic search to retrieve the indices of items in the dataset in their precise order, given shuffled training indices. The problem I have is that I cannot retrieve reliable results with my data on my first search. I have to run the search **twice** to get the right answer. I am indexing data that looks like the following from the HF SQuAD 2.0 data set: ``` ['57318658e6313a140071d02b', '56f7165e3d8e2e1400e3733a', '570e2f6e0b85d914000d7d21', '5727e58aff5b5019007d97d0', '5a3b5a503ff257001ab8441f', '57262fab271a42140099d725'] ``` To reproduce the issue, try: ``` from datasets import load_dataset, load_metric from transformers import BertTokenizerFast, BertForQuestionAnswering from elasticsearch import Elasticsearch import numpy as np import collections from tqdm.auto import tqdm import torch # from https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/question_answering.ipynb#scrollTo=941LPhDWeYv- tokenizer = BertTokenizerFast.from_pretrained('bert-base-uncased') max_length = 384 # The maximum length of a feature (question and context) doc_stride = 128 # The authorized overlap between two part of the context when splitting it is needed. pad_on_right = tokenizer.padding_side == "right" squad_v2 = True # from https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/question_answering.ipynb#scrollTo=941LPhDWeYv- def prepare_validation_features(examples): # Tokenize our examples with truncation and maybe padding, but keep the overflows using a stride. This results # in one example possible giving several features when a context is long, each of those features having a # context that overlaps a bit the context of the previous feature. tokenized_examples = tokenizer( examples["question" if pad_on_right else "context"], examples["context" if pad_on_right else "question"], truncation="only_second" if pad_on_right else "only_first", max_length=max_length, stride=doc_stride, return_overflowing_tokens=True, return_offsets_mapping=True, padding="max_length", ) # Since one example might give us several features if it has a long context, we need a map from a feature to # its corresponding example. This key gives us just that. sample_mapping = tokenized_examples.pop("overflow_to_sample_mapping") # We keep the example_id that gave us this feature and we will store the offset mappings. tokenized_examples["example_id"] = [] for i in range(len(tokenized_examples["input_ids"])): # Grab the sequence corresponding to that example (to know what is the context and what is the question). sequence_ids = tokenized_examples.sequence_ids(i) context_index = 1 if pad_on_right else 0 # One example can give several spans, this is the index of the example containing this span of text. sample_index = sample_mapping[i] tokenized_examples["example_id"].append(examples["id"][sample_index]) # Set to None the offset_mapping that are not part of the context so it's easy to determine if a token # position is part of the context or not. tokenized_examples["offset_mapping"][i] = [ (list(o) if sequence_ids[k] == context_index else None) for k, o in enumerate(tokenized_examples["offset_mapping"][i]) ] return tokenized_examples # build base examples, features set of training data shuffled_idx = pd.read_csv('https://raw.githubusercontent.com/afogarty85/temp/main/idx.csv')['idx'].to_list() examples = load_dataset("squad_v2").shuffle(seed=1)['train'] features = load_dataset("squad_v2").shuffle(seed=1)['train'].map( prepare_validation_features, batched=True, remove_columns=['answers', 'context', 'id', 'question', 'title']) # reorder features by the training process features = features.select(indices=shuffled_idx) # get the example ids to match with the "example" data; get unique entries id_list = list(dict.fromkeys(features['example_id'])) # now search for their index positions in the examples data set; load elastic search es = Elasticsearch([{'host': 'localhost'}]).ping() # add an index to the id column for the examples examples.add_elasticsearch_index(column='id') # retrieve the example index example_idx_k1 = [examples.search(index_name='id', query=i, k=1).indices for i in id_list] example_idx_k1 = [item for sublist in example_idx_k1 for item in sublist] example_idx_k2 = [examples.search(index_name='id', query=i, k=3).indices for i in id_list] example_idx_k2 = [item for sublist in example_idx_k2 for item in sublist] len(example_idx_k1) # should be 130319 len(example_idx_k2) # should be 130319 #trial 1 lengths: # k=1: 130314 # k=3: 130319 # trial 2: # just run k=3 first: 130310 # try k=1 after k=3: 130319 ```
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FewRel
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## Adding a Dataset - **Name:** FewRel - **Description:** Large-Scale Supervised Few-Shot Relation Classification Dataset - **Paper:** @inproceedings{han2018fewrel, title={FewRel:A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation}, author={Han, Xu and Zhu, Hao and Yu, Pengfei and Wang, Ziyun and Yao, Yuan and Liu, Zhiyuan and Sun, Maosong}, booktitle={EMNLP}, year={2018}} - **Data:** https://github.com/ProKil/FewRel - **Motivation:** relationship extraction dataset that's been used by some state of the art systems that should be incorporated. Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
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Ccaligned multilingual translation dataset
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## Adding a Dataset - **Name:** *name of the dataset* - **Description:** *short description of the dataset (or link to social media or blog post)* - CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language identification on raw web-documents, and ensuring corresponding language codes were corresponding in the URLs of web documents. This pattern matching approach yielded more than 100 million aligned documents paired with English. Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French). - **Paper:** *link to the dataset paper if available* - https://www.aclweb.org/anthology/2020.emnlp-main.480.pdf - **Data:** *link to the Github repository or current dataset location* - http://www.statmt.org/cc-aligned/ - **Motivation:** *what are some good reasons to have this dataset* - The authors says it's an high quality dataset. - it's pretty large and includes many language pairs. It could be interesting training mt5 on this task. Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
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Using select/reordering datasets slows operations down immensely
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I am using portions of HF's helpful work in preparing / scoring the SQuAD 2.0 data. The problem I have is that after using `select` to re-ordering the dataset, computations slow down immensely where the total scoring process on 131k training examples would take maybe 3 minutes, now take over an hour. The below example should be reproducible and I have ran myself down this path because I want to use HF's scoring functions and helpful data preparation, but use my own trainer. The training process uses shuffle and therefore the order I trained on no longer matches the original data set order. So, to score my results correctly, the original data set needs to match the order of the training. This requires that I: (1) collect the index for each row of data emitted during training, and (2) use this index information to re-order the datasets correctly so the orders match when I go to score. The problem is, the dataset class starts performing very poorly as soon as you start manipulating its order by immense magnitudes. ``` from datasets import load_dataset, load_metric from transformers import BertTokenizerFast, BertForQuestionAnswering from elasticsearch import Elasticsearch import numpy as np import collections from tqdm.auto import tqdm import torch # from https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/question_answering.ipynb#scrollTo=941LPhDWeYv- tokenizer = BertTokenizerFast.from_pretrained('bert-base-uncased') max_length = 384 # The maximum length of a feature (question and context) doc_stride = 128 # The authorized overlap between two part of the context when splitting it is needed. pad_on_right = tokenizer.padding_side == "right" squad_v2 = True # from https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/question_answering.ipynb#scrollTo=941LPhDWeYv- def prepare_validation_features(examples): # Tokenize our examples with truncation and maybe padding, but keep the overflows using a stride. This results # in one example possible giving several features when a context is long, each of those features having a # context that overlaps a bit the context of the previous feature. tokenized_examples = tokenizer( examples["question" if pad_on_right else "context"], examples["context" if pad_on_right else "question"], truncation="only_second" if pad_on_right else "only_first", max_length=max_length, stride=doc_stride, return_overflowing_tokens=True, return_offsets_mapping=True, padding="max_length", ) # Since one example might give us several features if it has a long context, we need a map from a feature to # its corresponding example. This key gives us just that. sample_mapping = tokenized_examples.pop("overflow_to_sample_mapping") # We keep the example_id that gave us this feature and we will store the offset mappings. tokenized_examples["example_id"] = [] for i in range(len(tokenized_examples["input_ids"])): # Grab the sequence corresponding to that example (to know what is the context and what is the question). sequence_ids = tokenized_examples.sequence_ids(i) context_index = 1 if pad_on_right else 0 # One example can give several spans, this is the index of the example containing this span of text. sample_index = sample_mapping[i] tokenized_examples["example_id"].append(examples["id"][sample_index]) # Set to None the offset_mapping that are not part of the context so it's easy to determine if a token # position is part of the context or not. tokenized_examples["offset_mapping"][i] = [ (list(o) if sequence_ids[k] == context_index else None) for k, o in enumerate(tokenized_examples["offset_mapping"][i]) ] return tokenized_examples # from https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/question_answering.ipynb#scrollTo=941LPhDWeYv- def postprocess_qa_predictions(examples, features, starting_logits, ending_logits, n_best_size = 20, max_answer_length = 30): all_start_logits, all_end_logits = starting_logits, ending_logits # Build a map example to its corresponding features. example_id_to_index = {k: i for i, k in enumerate(examples["id"])} features_per_example = collections.defaultdict(list) for i, feature in enumerate(features): features_per_example[example_id_to_index[feature["example_id"]]].append(i) # The dictionaries we have to fill. predictions = collections.OrderedDict() # Logging. print(f"Post-processing {len(examples)} example predictions split into {len(features)} features.") # Let's loop over all the examples! for example_index, example in enumerate(tqdm(examples)): # Those are the indices of the features associated to the current example. feature_indices = features_per_example[example_index] min_null_score = None # Only used if squad_v2 is True. valid_answers = [] context = example["context"] # Looping through all the features associated to the current example. for feature_index in feature_indices: # We grab the predictions of the model for this feature. start_logits = all_start_logits[feature_index] end_logits = all_end_logits[feature_index] # This is what will allow us to map some the positions in our logits to span of texts in the original # context. offset_mapping = features[feature_index]["offset_mapping"] # Update minimum null prediction. cls_index = features[feature_index]["input_ids"].index(tokenizer.cls_token_id) feature_null_score = start_logits[cls_index] + end_logits[cls_index] if min_null_score is None or min_null_score < feature_null_score: min_null_score = feature_null_score # Go through all possibilities for the `n_best_size` greater start and end logits. start_indexes = np.argsort(start_logits)[-1 : -n_best_size - 1 : -1].tolist() end_indexes = np.argsort(end_logits)[-1 : -n_best_size - 1 : -1].tolist() for start_index in start_indexes: for end_index in end_indexes: # Don't consider out-of-scope answers, either because the indices are out of bounds or correspond # to part of the input_ids that are not in the context. if ( start_index >= len(offset_mapping) or end_index >= len(offset_mapping) or offset_mapping[start_index] is None or offset_mapping[end_index] is None ): continue # Don't consider answers with a length that is either < 0 or > max_answer_length. if end_index < start_index or end_index - start_index + 1 > max_answer_length: continue start_char = offset_mapping[start_index][0] end_char = offset_mapping[end_index][1] valid_answers.append( { "score": start_logits[start_index] + end_logits[end_index], "text": context[start_char: end_char] } ) if len(valid_answers) > 0: best_answer = sorted(valid_answers, key=lambda x: x["score"], reverse=True)[0] else: # In the very rare edge case we have not a single non-null prediction, we create a fake prediction to avoid # failure. best_answer = {"text": "", "score": 0.0} # Let's pick our final answer: the best one or the null answer (only for squad_v2) if not squad_v2: predictions[example["id"]] = best_answer["text"] else: answer = best_answer["text"] if best_answer["score"] > min_null_score else "" predictions[example["id"]] = answer return predictions # build base examples, features from training data examples = load_dataset("squad_v2").shuffle(seed=5)['train'] features = load_dataset("squad_v2").shuffle(seed=5)['train'].map( prepare_validation_features, batched=True, remove_columns=['answers', 'context', 'id', 'question', 'title']) # sim some shuffled training indices that we want to use to re-order the data to compare how we did shuffle_idx = np.arange(0, 131754) np.random.shuffle(shuffle_idx) # create a new dataset with rows selected following the training shuffle features = features.select(indices=shuffle_idx) # get unique example ids to match with the "example" data id_list = list(dict.fromkeys(features['example_id'])) # now search for their index positions; load elastic search es = Elasticsearch([{'host': 'localhost'}]).ping() # add an index to the id column for the examples examples.add_elasticsearch_index(column='id') # search the examples for their index position example_idx = [examples.search(index_name='id', query=i, k=1).indices for i in id_list] # drop the elastic search examples.drop_index(index_name='id') # put examples in the right order examples = examples.select(indices=example_idx) # generate some fake data logits = {'starting_logits': torch.randn(131754, 384), 'ending_logits': torch.randn(131754, 384)} def score_squad(logits, n_best_size, max_answer): # proceed with QA calculation final_predictions = postprocess_qa_predictions(examples=examples, features=features, starting_logits=logits['starting_logits'], ending_logits=logits['ending_logits'], n_best_size=20, max_answer_length=30) metric = load_metric("squad_v2") formatted_predictions = [{"id": k, "prediction_text": v, "no_answer_probability": 0.0} for k, v in final_predictions.items()] references = [{"id": ex["id"], "answers": ex["answers"]} for ex in examples] metrics = metric.compute(predictions=formatted_predictions, references=references) return metrics metrics = score_squad(logits, n_best_size=20, max_answer=30) ```
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Use a config id in the cache directory names for custom configs
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2021-01-20T11:11:00Z
https://api.github.com/repos/huggingface/datasets/issues/1754/comments
As noticed by @JetRunner there was some issues when trying to generate a dataset using a custom config that is based on an existing config. For example in the following code the `mnli_custom` would reuse the cache used to create `mnli` instead of generating a new dataset with the new label classes: ```python from datasets import load_dataset mnli = load_dataset("glue", "mnli") mnli_custom = load_dataset("glue", "mnli", label_classes=["contradiction", "entailment", "neutral"]) ``` I fixed that by extending the cache directory definition of a dataset that is being generated. Instead of using the config name in the cache directory name, I switched to using a `config_id`. By default it is equal to the config name. However the name of a config is not sufficent to have a unique identifier for the dataset being generated since it doesn't take into account: - the config kwargs that can be used to overwrite attributes - the custom features used to write the dataset - the data_files for json/text/csv/pandas datasets Therefore the config id is just the config name with an optional suffix based on these. In particular taking into account the config kwargs fixes the issue with the `label_classes` above. I completed the current test cases by adding the case that was missing: overwriting an already existing config.
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fix comet citations
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2021-01-20T10:52:38Z
https://api.github.com/repos/huggingface/datasets/issues/1753/comments
I realized COMET citations were not showing in the hugging face metrics page: <img width="814" alt="Screenshot 2021-01-20 at 09 48 44" src="https://user-images.githubusercontent.com/17256847/105164848-8b9da900-5b0d-11eb-9e20-a38f559d2037.png"> This pull request is intended to fix that. Thanks!
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COMET metric citation
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2021-01-20T09:54:43Z
https://api.github.com/repos/huggingface/datasets/issues/1752/comments
In my last pull request to add COMET metric, the citations where not following the usual "format". Because of that they where not correctly displayed on the website: <img width="814" alt="Screenshot 2021-01-20 at 09 48 44" src="https://user-images.githubusercontent.com/17256847/105158000-686efb80-5b05-11eb-8bb0-9c85fdac2938.png"> This pull request is only intended to fix that.
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Updated README for the Social Bias Frames dataset
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2021-01-19T17:53:00Z
https://api.github.com/repos/huggingface/datasets/issues/1751/comments
See the updated card at https://github.com/mcmillanmajora/datasets/tree/add-SBIC-card/datasets/social_bias_frames. I incorporated information from the [SBIC data statement](https://homes.cs.washington.edu/~msap/social-bias-frames/DATASTATEMENT.html), paper, and the corpus README file included with the dataset download.
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Fix typo in README.md of cnn_dailymail
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2021-01-19T03:06:05Z
https://api.github.com/repos/huggingface/datasets/issues/1750/comments
When I read the README.md of `CNN/DailyMail Dataset`, there seems to be a typo `CCN`. I am afraid this is a trivial matter, but I would like to make a suggestion for revision.
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Added metadata and correct splits for swda.
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2021-01-18T18:36:32Z
https://api.github.com/repos/huggingface/datasets/issues/1749/comments
Switchboard Dialog Act Corpus I made some changes following @bhavitvyamalik recommendation in #1678: * Contains all metadata. * Used official implementation from the [/swda](https://github.com/cgpotts/swda) repo. * Add official train and test splits used in [Stolcke et al. (2000)](https://web.stanford.edu/~jurafsky/ws97) and validation split used in [Probabilistic-RNN-DA-Classifier](https://github.com/NathanDuran/Probabilistic-RNN-DA-Classifier).
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add Stuctured Argument Extraction for Korean dataset
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2021-01-18T17:14:19Z
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datasets slicing with seed
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Hi I need to slice a dataset with random seed, I looked into documentation here https://huggingface.co/docs/datasets/splits.html I could not find a seed option, could you assist me please how I can get a slice for different seeds? thank you. @lhoestq
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Fix release conda worflow
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2021-01-18T11:29:10Z
https://api.github.com/repos/huggingface/datasets/issues/1746/comments
The current workflow yaml file is not valid according to https://github.com/huggingface/datasets/actions/runs/487638110
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difference between wsc and wsc.fixed for superglue
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Hi I see two versions of wsc in superglue, and I am not sure what is the differences and which one is the original one. could you help to discuss the differences? thanks @lhoestq
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Add missing "brief" entries to reuters
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2021-01-17T07:58:49Z
https://api.github.com/repos/huggingface/datasets/issues/1744/comments
This brings the number of examples for ModApte to match the stated `Training set (9,603 docs)...Test Set (3,299 docs)`
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Issue while Creating Custom Metric
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2021-01-17T07:01:14Z
https://api.github.com/repos/huggingface/datasets/issues/1743/comments
Hi Team, I am trying to create a custom metric for my training as follows, where f1 is my own metric: ```python def _info(self): # TODO: Specifies the datasets.MetricInfo object return datasets.MetricInfo( # This is the description that will appear on the metrics page. description=_DESCRIPTION, citation=_CITATION, inputs_description=_KWARGS_DESCRIPTION, # This defines the format of each prediction and reference features = datasets.Features({'predictions':datasets.Sequence(datasets.Value("int32")), "references": datasets.Sequence(datasets.Value("int32")),"offset_mapping":datasets.Sequence(datasets.Value("int32")),'text':datasets.Sequence(datasets.Value('string')),"ground":datasets.Sequence(datasets.Value("int32")),}), # Homepage of the metric for documentation homepage="http://metric.homepage", # Additional links to the codebase or references codebase_urls=["http://github.com/path/to/codebase/of/new_metric"], reference_urls=["http://path.to.reference.url/new_metric"] ) def _compute(self,predictions,references,text,offset_mapping,spans): pred_spans = [] for i,preds in enumerate(predictions): current_preds = [] for j,token_preds in enumerate(preds): if (preds>0.5): current_preds+=list(range(offset_mapping[i][j][0],offset_mapping[i][j][1])) pred_spans.append(current_spans) return { "Token Wise F1": f1_score(references,predictions,labels=[0,1]), "Offset Wise F1": np.mean([f1(preds,gold) for preds,fold in zip(pred_spans,ground)]) } ``` I believe this is not correct. But that's not the issue I am facing right now. I get this error : ```python --------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-144-ed7349b50821> in <module>() ----> 1 new_metric.compute(predictions=inputs["labels"],references=inputs["labels"], text=inputs["text"], offset_mapping=inputs["offset_mapping"],ground=inputs["ground"] ) 2 frames /usr/local/lib/python3.6/dist-packages/datasets/features.py in encode_batch(self, batch) 802 encoded_batch = {} 803 if set(batch) != set(self): --> 804 print(batch) 805 print(self) 806 raise ValueError("Column mismatch between batch {} and features {}".format(set(batch), set(self))) ValueError: Column mismatch between batch {'references', 'predictions'} and features {'ground', 'predictions', 'offset_mapping', 'text', 'references'} ``` On checking the features.py file, I see the call is made from add_batch() in metrics.py which only takes in predictions and references. How do I make my custom metric work? Will it work with a trainer even if I am able to make this metric work? Thanks, Gunjan
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Add GLUE Compat (compatible with transformers<3.5.0)
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2021-01-17T05:54:25Z
https://api.github.com/repos/huggingface/datasets/issues/1742/comments
Link to our discussion on Slack (HF internal) https://huggingface.slack.com/archives/C014N4749J9/p1609668119337400 The next step is to add a compatible option in the new `run_glue.py` I duplicated `glue` and made the following changes: 1. Change the name to `glue_compat`. 2. Change the label assignments for MNLI and AX.
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error when run fine_tuning on text_classification
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dataset:sem_eval_2014_task_1 pretrained_model:bert-base-uncased error description: when i use these resoruce to train fine_tuning a text_classification on sem_eval_2014_task_1,there always be some problem(when i use other dataset ,there exist the error too). And i followed the colab code (url:https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/text_classification.ipynb#scrollTo=TlqNaB8jIrJW). the error is like this : `File "train.py", line 69, in <module> trainer.train() File "/home/projects/anaconda3/envs/calibration/lib/python3.7/site-packages/transformers/trainer.py", line 784, in train for step, inputs in enumerate(epoch_iterator): File "/home/projects/anaconda3/envs/calibration/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 435, in __next__ data = self._next_data() File "/home/projects/anaconda3/envs/calibration/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 475, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "/home/projects/anaconda3/envs/calibration/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/projects/anaconda3/envs/calibration/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] KeyError: 2` this is my code : ```dataset_name = 'sem_eval_2014_task_1' num_labels_size = 3 batch_size = 4 model_checkpoint = 'bert-base-uncased' number_train_epoch = 5 def tokenize(batch): return tokenizer(batch['premise'], batch['hypothesis'], truncation=True, ) def compute_metrics(pred): labels = pred.label_ids preds = pred.predictions.argmax(-1) precision, recall, f1, _ = precision_recall_fscore_support(labels, preds, average='micro') acc = accuracy_score(labels, preds) return { 'accuracy': acc, 'f1': f1, 'precision': precision, 'recall': recall } model = BertForSequenceClassification.from_pretrained(model_checkpoint, num_labels=num_labels_size) tokenizer = BertTokenizerFast.from_pretrained(model_checkpoint, use_fast=True) train_dataset = load_dataset(dataset_name, split='train') test_dataset = load_dataset(dataset_name, split='test') train_encoded_dataset = train_dataset.map(tokenize, batched=True) test_encoded_dataset = test_dataset.map(tokenize, batched=True) args = TrainingArguments( output_dir='./results', evaluation_strategy="epoch", learning_rate=2e-5, per_device_train_batch_size=batch_size, per_device_eval_batch_size=batch_size, num_train_epochs=number_train_epoch, weight_decay=0.01, do_predict=True, ) trainer = Trainer( model=model, args=args, compute_metrics=compute_metrics, train_dataset=train_encoded_dataset, eval_dataset=test_encoded_dataset, tokenizer=tokenizer ) trainer.train() trainer.evaluate()
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add id_liputan6 dataset
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2021-01-15T22:58:34Z
https://api.github.com/repos/huggingface/datasets/issues/1740/comments
id_liputan6 is a large-scale Indonesian summarization dataset. The articles were harvested from an online news portal, and obtain 215,827 document-summary pairs: https://arxiv.org/abs/2011.00679
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fixes and improvements for the WebNLG loader
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2021-01-15T21:45:23Z
https://api.github.com/repos/huggingface/datasets/issues/1739/comments
- fixes test sets loading in v3.0 - adds additional fields for v3.0_ru - adds info to the WebNLG data card
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Conda support
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2021-01-14T15:11:25Z
https://api.github.com/repos/huggingface/datasets/issues/1738/comments
Will push a new version on anaconda cloud every time a tag starting with `v` is pushed (like `v1.2.2`). Will appear here: https://anaconda.org/huggingface/datasets Depends on `conda-forge` for now, so the following is required for installation: ``` conda install -c huggingface -c conda-forge datasets ```
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update link in TLC to be github links
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2021-01-14T02:49:21Z
https://api.github.com/repos/huggingface/datasets/issues/1737/comments
Base on this issue https://github.com/huggingface/datasets/issues/1064, I can now use the official links.
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Adjust BrWaC dataset features name
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2021-01-13T20:39:04Z
https://api.github.com/repos/huggingface/datasets/issues/1736/comments
I added this dataset some days ago, and today I used it to train some models and realized that the names of the features aren't so good. Looking at the current features hierarchy, we have "paragraphs" with a list of "sentences" with a list of "sentences?!". But the actual hierarchy is a "text" with a list of "paragraphs" with a list of "sentences". I confused myself trying to use the dataset with these names. So I think it's better to change it.
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Update add new dataset template
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2021-01-13T15:08:09Z
https://api.github.com/repos/huggingface/datasets/issues/1735/comments
This PR fixes a few typos in the "Add new dataset template" and clarifies a bit what to do for the dummy data creation when the `auto_generate` flag can't work.
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Fix empty token bug for `thainer` and `lst20`
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2021-01-13T09:55:09Z
https://api.github.com/repos/huggingface/datasets/issues/1734/comments
add a condition to check if tokens exist before yielding in `thainer` and `lst20`
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connection issue with glue, what is the data url for glue?
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Hi my codes sometimes fails due to connection issue with glue, could you tell me how I can have the URL datasets library is trying to read GLUE from to test the machines I am working on if there is an issue on my side or not thanks
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[GEM Dataset] Added TurkCorpus, an evaluation dataset for sentence simplification.
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2021-01-13T07:50:19Z
https://api.github.com/repos/huggingface/datasets/issues/1732/comments
We want to use TurkCorpus for validation and testing of the sentence simplification task.
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Couldn't reach swda.py
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ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.0/datasets/swda/swda.py
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Add MNIST dataset
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2021-01-12T21:48:02Z
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This PR adds the MNIST dataset to the library.
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Is there support for Deep learning datasets?
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I looked around this repository and looking the datasets I think that there's no support for images-datasets. Or am I missing something? For example to add a repo like this https://github.com/DZPeru/fish-datasets
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Add an entry to an arrow dataset
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Is it possible to add an entry to a dataset object? **Motivation: I want to transform the sentences in the dataset and add them to the original dataset** For example, say we have the following code: ``` python from datasets import load_dataset # Load a dataset and print the first examples in the training set squad_dataset = load_dataset('squad') print(squad_dataset['train'][0]) ``` Is it possible to add an entry to `squad_dataset`? Something like the following? ``` python squad_dataset.append({'text': "This is a new sentence"}) ``` The motivation for doing this is that I want to transform the sentences in the squad dataset and add them to the original dataset. If the above doesn't work, is there any other way of achieving the motivation mentioned above? Perhaps by creating a new arrow dataset by using the older one and the transformer sentences?
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BLEURT score calculation raises UnrecognizedFlagError
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2021-01-12T17:27:02Z
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Calling the `compute` method for **bleurt** metric fails with an `UnrecognizedFlagError` for `FLAGS.bleurt_batch_size`. My environment: ``` python==3.8.5 datasets==1.2.0 tensorflow==2.3.1 cudatoolkit==11.0.221 ``` Test code for reproducing the error: ``` from datasets import load_metric bleurt = load_metric('bleurt') gen_text = "I am walking on the promenade today" ref_text = "I am walking along the promenade on this sunny day" bleurt.compute(predictions=[test_text], references=[test_text]) ``` Error Output: ``` Using default BLEURT-Base checkpoint for sequence maximum length 128. You can use a bigger model for better results with e.g.: datasets.load_metric('bleurt', 'bleurt-large-512'). INFO:tensorflow:Reading checkpoint /home/ubuntu/.cache/huggingface/metrics/bleurt/default/downloads/extracted/9aee35580225730ac5422599f35c4986e4c49cafd08082123342b1019720dac4/bleurt-base-128. INFO:tensorflow:Config file found, reading. INFO:tensorflow:Will load checkpoint bert_custom INFO:tensorflow:Performs basic checks... INFO:tensorflow:... name:bert_custom INFO:tensorflow:... vocab_file:vocab.txt INFO:tensorflow:... bert_config_file:bert_config.json INFO:tensorflow:... do_lower_case:True INFO:tensorflow:... max_seq_length:128 INFO:tensorflow:Creating BLEURT scorer. INFO:tensorflow:Loading model... INFO:tensorflow:BLEURT initialized. --------------------------------------------------------------------------- UnrecognizedFlagError Traceback (most recent call last) <ipython-input-12-8b3f4322318a> in <module> 2 gen_text = "I am walking on the promenade today" 3 ref_text = "I am walking along the promenade on this sunny day" ----> 4 bleurt.compute(predictions=[gen_text], references=[ref_text]) ~/anaconda3/envs/noved/lib/python3.8/site-packages/datasets/metric.py in compute(self, *args, **kwargs) 396 references = self.data["references"] 397 with temp_seed(self.seed): --> 398 output = self._compute(predictions=predictions, references=references, **kwargs) 399 400 if self.buf_writer is not None: ~/.cache/huggingface/modules/datasets_modules/metrics/bleurt/b1de33e1cbbcb1dbe276c887efa1fad68c6aff913885108078fa1ad408908778/bleurt.py in _compute(self, predictions, references) 103 104 def _compute(self, predictions, references): --> 105 scores = self.scorer.score(references=references, candidates=predictions) 106 return {"scores": scores} ~/anaconda3/envs/noved/lib/python3.8/site-packages/bleurt/score.py in score(self, references, candidates, batch_size) 164 """ 165 if not batch_size: --> 166 batch_size = FLAGS.bleurt_batch_size 167 168 candidates, references = list(candidates), list(references) ~/anaconda3/envs/noved/lib/python3.8/site-packages/tensorflow/python/platform/flags.py in __getattr__(self, name) 83 # a flag. 84 if not wrapped.is_parsed(): ---> 85 wrapped(_sys.argv) 86 return wrapped.__getattr__(name) 87 ~/anaconda3/envs/noved/lib/python3.8/site-packages/absl/flags/_flagvalues.py in __call__(self, argv, known_only) 643 for name, value in unknown_flags: 644 suggestions = _helpers.get_flag_suggestions(name, list(self)) --> 645 raise _exceptions.UnrecognizedFlagError( 646 name, value, suggestions=suggestions) 647 UnrecognizedFlagError: Unknown command line flag 'f' ``` Possible Fix: Modify `_compute` method https://github.com/huggingface/datasets/blob/7e64851a12263dc74d41c668167918484c8000ab/metrics/bleurt/bleurt.py#L104 to receive a `batch_size` argument, for example: ``` def _compute(self, predictions, references, batch_size=1): scores = self.scorer.score(references=references, candidates=predictions, batch_size=batch_size) return {"scores": scores} ```
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Offline loading
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2021-01-12T15:21:57Z
https://api.github.com/repos/huggingface/datasets/issues/1726/comments
As discussed in #824 it would be cool to make the library work in offline mode. Currently if there's not internet connection then modules (datasets or metrics) that have already been loaded in the past can't be loaded and it raises a ConnectionError. This is because `prepare_module` fetches online for the latest version of the module. To make it work in offline mode one suggestion was to reload the latest local version of the module. I implemented that and I also raise a warning saying that the module that is loaded is the latest local version. ```python logger.warning( f"Using the latest cached version of the module from {cached_module_path} since it " f"couldn't be found locally at {input_path} or remotely ({error_type_that_prevented_reaching_out_remote_stuff})." ) ``` I added tests to make sure it works as expected and I needed to do a few changes in the code to be able to test things properly. In particular I added a parameter `hf_modules_cache` to `init_dynamic_modules` for testing purposes. It makes it possible to have temporary modules caches for testing. I also added a `offline` context utility that allows to test part of the code by making all the requests fail as if there was no internet. Close #824, close #761.
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load the local dataset
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2021-01-12T12:12:55Z
https://api.github.com/repos/huggingface/datasets/issues/1725/comments
your guidebook's example is like >>>from datasets import load_dataset >>> dataset = load_dataset('json', data_files='my_file.json') but the first arg is path... so how should i do if i want to load the local dataset for model training? i will be grateful if you can help me handle this problem! thanks a lot!
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ADD S3 support for downloading and uploading processed datasets
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2021-01-12T07:17:34Z
https://api.github.com/repos/huggingface/datasets/issues/1723/comments
# What does this PR do? This PR adds the functionality to load and save `datasets` from and to s3. You can save `datasets` with either `Dataset.save_to_disk()` or `DatasetDict.save_to_disk`. You can load `datasets` with either `load_from_disk` or `Dataset.load_from_disk()`, `DatasetDict.load_from_disk()`. Loading `csv` or `json` datasets from s3 is not implemented. To save/load datasets to s3 you either need to provide an `aws_profile`, which is set up on your machine, per default it uses the `default` profile or you have to pass an `aws_access_key_id` and `aws_secret_access_key`. The implementation was done with the `fsspec` and `boto3`. ### Example `aws_profile` : <details> ```python dataset.save_to_disk("s3://moto-mock-s3-bucket/datasets/sdk", aws_profile="hf-sm") load_from_disk("s3://moto-mock-s3-bucket/datasets/sdk", aws_profile="hf-sm") ``` </details> ### Example `aws_access_key_id` and `aws_secret_access_key` : <details> ```python dataset.save_to_disk("s3://moto-mock-s3-bucket/datasets/sdk", aws_access_key_id="fake_access_key", aws_secret_access_key="fake_secret_key" ) load_from_disk("s3://moto-mock-s3-bucket/datasets/sdk", aws_access_key_id="fake_access_key", aws_secret_access_key="fake_secret_key" ) ``` </details> If you want to load a dataset from a public s3 bucket you can pass `anon=True` ### Example `anon=True` : <details> ```python dataset.save_to_disk("s3://moto-mock-s3-bucket/datasets/sdk", aws_profile="hf-sm") load_from_disk("s3://moto-mock-s3-bucketdatasets/sdk",anon=True) ``` </details> ### Full Example ```python import datasets dataset = datasets.load_dataset("imdb") print(f"DatasetDict contains {len(dataset)} datasets") print(f"train Dataset has the size of: {len(dataset['train'])}") dataset.save_to_disk("s3://moto-mock-s3-bucket/datasets/sdk", aws_profile="hf-sm") remote_dataset = datasets.load_from_disk("s3://moto-mock-s3-bucket/datasets/sdk", aws_profile="hf-sm") print(f"DatasetDict contains {len(remote_dataset)} datasets") print(f"train Dataset has the size of: {len(remote_dataset['train'])}") ``` Related to #878 I would also adjust the documentation after the code would be reviewed, as long as I leave the PR in "draft" status. Something that we can consider is renaming the functions and changing the `_disk` maybe to `_filesystem`
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could not run models on a offline server successfully
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2021-01-12T06:08:06Z
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Hi, I really need your help about this. I am trying to fine-tuning a RoBERTa on a remote server, which is strictly banning internet. I try to install all the packages by hand and try to run run_mlm.py on the server. It works well on colab, but when I try to run it on this offline server, it shows: ![image](https://user-images.githubusercontent.com/49967236/104276256-25a88600-546a-11eb-9776-8ec695dfa24e.png) is there anything I can do? Is it possible to download all the things in cache and upload it to the server? Please help me out...
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Added unfiltered versions of the Wiki-Auto training data for the GEM simplification task.
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2021-01-12T05:26:04Z
https://api.github.com/repos/huggingface/datasets/issues/1722/comments
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[Scientific papers] Mirror datasets zip
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2021-01-12T01:15:40Z
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Datasets were uploading to https://s3.amazonaws.com/datasets.huggingface.co/scientific_papers/1.1.1/arxiv-dataset.zip and https://s3.amazonaws.com/datasets.huggingface.co/scientific_papers/1.1.1/pubmed-dataset.zip respectively to escape google drive quota and enable faster download.
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Adding the NorNE dataset for NER
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2021-01-11T21:34:13Z
https://api.github.com/repos/huggingface/datasets/issues/1720/comments
NorNE is a manually annotated corpus of named entities which extends the annotation of the existing Norwegian Dependency Treebank. Comprising both of the official standards of written Norwegian (Bokmål and Nynorsk), the corpus contains around 600,000 tokens and annotates a rich set of entity types including persons, organizations, locations, geo-political entities, products, and events, in addition to a class corresponding to nominals derived from names.
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Fix column list comparison in transmit format
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2021-01-11T17:23:56Z
https://api.github.com/repos/huggingface/datasets/issues/1719/comments
As noticed in #1718 the cache might not reload the cache files when new columns were added. This is because of an issue in `transmit_format` where the column list comparison fails because the order was not deterministic. This causes the `transmit_format` to apply an unnecessary `set_format` transform with shuffled column names. I fixed that by sorting the columns for the comparison and added a test. To properly test that I added a third column `col_3` to the dummy_dataset used for tests.
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Possible cache miss in datasets
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Hi, I am using the datasets package and even though I run the same data processing functions, datasets always recomputes the function instead of using cache. I have attached an example script that for me reproduces the problem. In the attached example the second map function always recomputes instead of loading from cache. Is this a bug or am I doing something wrong? Is there a way for fix this and avoid all the recomputation? Thanks Edit: transformers==3.5.1 datasets==1.2.0 ``` from datasets import load_dataset from transformers import AutoTokenizer datasets = load_dataset('wikitext', 'wikitext-103-raw-v1') tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased', use_fast=True) column_names = datasets["train"].column_names text_column_name = "text" if "text" in column_names else column_names[0] def tokenize_function(examples): return tokenizer(examples[text_column_name], return_special_tokens_mask=True) tokenized_datasets = datasets.map( tokenize_function, batched=True, num_proc=60, remove_columns=[text_column_name], load_from_cache_file=True, ) max_seq_length = tokenizer.model_max_length def group_texts(examples): # Concatenate all texts. concatenated_examples = { k: sum(examples[k], []) for k in examples.keys()} total_length = len(concatenated_examples[list(examples.keys())[0]]) # We drop the small remainder, we could add padding if the model supported it instead of this drop, you can # customize this part to your needs. total_length = (total_length // max_seq_length) * max_seq_length # Split by chunks of max_len. result = { k: [t[i: i + max_seq_length] for i in range(0, total_length, max_seq_length)] for k, t in concatenated_examples.items() } return result tokenized_datasets = tokenized_datasets.map( group_texts, batched=True, num_proc=60, load_from_cache_file=True, ) print(tokenized_datasets) print('finished') ```
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SciFact dataset - minor changes
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Hi, SciFact dataset creator here. First of all, thanks for adding the dataset to Huggingface, much appreciated! I'd like to make a few minor changes, including the citation information and the `_URL` from which to download the dataset. Can I submit a PR for this? It also looks like the dataset is being downloaded directly from Huggingface's Google cloud account rather than via the `_URL` in [scifact.py](https://github.com/huggingface/datasets/blob/master/datasets/scifact/scifact.py). Can you help me update the version on gcloud? Thanks, Dave
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Add Hatexplain Dataset
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2021-01-10T13:30:01Z
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Adding Hatexplain - the first benchmark hate speech dataset covering multiple aspects of the issue
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add Korean intonation-aided intention identification dataset
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2021-01-10T06:29:04Z
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Adding adversarialQA dataset
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2021-01-08T21:46:09Z
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Adding the adversarialQA dataset (https://adversarialqa.github.io/) from Beat the AI (https://arxiv.org/abs/2002.00293)
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Installation using conda
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Will a conda package for installing datasets be added to the huggingface conda channel? I have installed transformers using conda and would like to use the datasets library to use some of the scripts in the transformers/examples folder but am unable to do so at the moment as datasets can only be installed using pip and using pip in a conda environment is generally a bad idea in my experience.
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Silicone
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2021-01-08T18:24:18Z
https://api.github.com/repos/huggingface/datasets/issues/1712/comments
My collaborators and I within the Affective Computing team at Telecom Paris would like to push our spoken dialogue dataset for publication.
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Fix windows path scheme in cached path
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2021-01-08T13:45:56Z
https://api.github.com/repos/huggingface/datasets/issues/1711/comments
As noticed in #807 there's currently an issue with `cached_path` not raising `FileNotFoundError` on windows for absolute paths. This is due to the way we check for a path to be local or not. The check on the scheme using urlparse was incomplete. I fixed this and added tests
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IsADirectoryError when trying to download C4
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**TLDR**: I fail to download C4 and see a stacktrace originating in `IsADirectoryError` as an explanation for failure. How can the problem be fixed? **VERBOSE**: I use Python version 3.7 and have the following dependencies listed in my project: ``` datasets==1.2.0 apache-beam==2.26.0 ``` When running the following code, where `/data/huggingface/unpacked/` contains a single unzipped `wet.paths` file manually downloaded as per the instructions for C4: ``` from datasets import load_dataset load_dataset("c4", "en", data_dir="/data/huggingface/unpacked", beam_runner='DirectRunner') ``` I get the following stacktrace: ``` /Users/fredriko/venv/misc/bin/python /Users/fredriko/source/misc/main.py Downloading and preparing dataset c4/en (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /Users/fredriko/.cache/huggingface/datasets/c4/en/2.3.0/8304cf264cc42bdebcb13fca4b9cb36368a96f557d36f9dc969bebbe2568b283... Traceback (most recent call last): File "/Users/fredriko/source/misc/main.py", line 3, in <module> load_dataset("c4", "en", data_dir="/data/huggingface/unpacked", beam_runner='DirectRunner') File "/Users/fredriko/venv/misc/lib/python3.7/site-packages/datasets/load.py", line 612, in load_dataset ignore_verifications=ignore_verifications, File "/Users/fredriko/venv/misc/lib/python3.7/site-packages/datasets/builder.py", line 527, in download_and_prepare dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs File "/Users/fredriko/venv/misc/lib/python3.7/site-packages/datasets/builder.py", line 1066, in _download_and_prepare pipeline=pipeline, File "/Users/fredriko/venv/misc/lib/python3.7/site-packages/datasets/builder.py", line 582, in _download_and_prepare split_generators = self._split_generators(dl_manager, **split_generators_kwargs) File "/Users/fredriko/.cache/huggingface/modules/datasets_modules/datasets/c4/8304cf264cc42bdebcb13fca4b9cb36368a96f557d36f9dc969bebbe2568b283/c4.py", line 190, in _split_generators file_paths = dl_manager.download_and_extract(files_to_download) File "/Users/fredriko/venv/misc/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 258, in download_and_extract return self.extract(self.download(url_or_urls)) File "/Users/fredriko/venv/misc/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 189, in download self._record_sizes_checksums(url_or_urls, downloaded_path_or_paths) File "/Users/fredriko/venv/misc/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 117, in _record_sizes_checksums self._recorded_sizes_checksums[str(url)] = get_size_checksum_dict(path) File "/Users/fredriko/venv/misc/lib/python3.7/site-packages/datasets/utils/info_utils.py", line 80, in get_size_checksum_dict with open(path, "rb") as f: IsADirectoryError: [Errno 21] Is a directory: '/' Process finished with exit code 1 ```
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## Adding a Dataset - **Name:** *name of the dataset* - **Description:** *short description of the dataset (or link to social media or blog post)* - **Paper:** *link to the dataset paper if available* - **Data:** *link to the Github repository or current dataset location* - **Motivation:** *what are some good reasons to have this dataset* Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
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## Adding a Dataset - **Name:** *name of the dataset* - **Description:** *short description of the dataset (or link to social media or blog post)* - **Paper:** *link to the dataset paper if available* - **Data:** *link to the Github repository or current dataset location* - **Motivation:** *what are some good reasons to have this dataset* Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
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Added generated READMEs for datasets that were missing one.
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2021-01-07T18:10:06Z
https://api.github.com/repos/huggingface/datasets/issues/1707/comments
This is it: we worked on a generator with Yacine @yjernite , and we generated dataset cards for all missing ones (161), with all the information we could gather from datasets repository, and using dummy_data to generate examples when possible. Code is available here for the moment: https://github.com/madlag/datasets_readme_generator . We will move it to a Hugging Face repository and to https://huggingface.co/datasets/card-creator/ later.
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Error when downloading a large dataset on slow connection.
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I receive the following error after about an hour trying to download the `openwebtext` dataset. The code used is: ```python import datasets datasets.load_dataset("openwebtext") ``` > Traceback (most recent call last): [4/28] > File "<stdin>", line 1, in <module> > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/site-packages/datasets/load.py", line 610, in load_dataset > ignore_verifications=ignore_verifications, > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/site-packages/datasets/builder.py", line 515, in download_and_prepare > dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/site-packages/datasets/builder.py", line 570, in _download_and_prepare > split_generators = self._split_generators(dl_manager, **split_generators_kwargs) > File "/home/lucadiliello/.cache/huggingface/modules/datasets_modules/datasets/openwebtext/5c636399c7155da97c982d0d70ecdce30fbca66a4eb4fc768ad91f8331edac02/openwebtext.py", line 62, in _split_generators > dl_dir = dl_manager.download_and_extract(_URL) > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 254, in download_and_extract > return self.extract(self.download(url_or_urls)) > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 235, in extract > num_proc=num_proc, > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/site-packages/datasets/utils/py_utils.py", line 225, in map_nested > return function(data_struct) > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 343, in cached_path > tar_file.extractall(output_path_extracted) > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/tarfile.py", line 2000, in extractall > numeric_owner=numeric_owner) > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/tarfile.py", line 2042, in extract > numeric_owner=numeric_owner) > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/tarfile.py", line 2112, in _extract_member > self.makefile(tarinfo, targetpath) > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/tarfile.py", line 2161, in makefile > copyfileobj(source, target, tarinfo.size, ReadError, bufsize) > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/tarfile.py", line 253, in copyfileobj > buf = src.read(remainder) > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/lzma.py", line 200, in read > return self._buffer.read(size) > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/_compression.py", line 68, in readinto > data = self.read(len(byte_view)) > File "/home/lucadiliello/anaconda3/envs/nlp/lib/python3.7/_compression.py", line 99, in read > raise EOFError("Compressed file ended before the " > EOFError: Compressed file ended before the end-of-stream marker was reached
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Add information about caching and verifications in "Load a Dataset" docs
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2021-01-07T17:18:44Z
https://api.github.com/repos/huggingface/datasets/issues/1705/comments
Related to #215. Missing improvements from @lhoestq's #1703.
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Update XSUM Factuality DatasetCard
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2021-01-07T15:37:14Z
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Update XSUM Factuality DatasetCard
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Improvements regarding caching and fingerprinting
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2021-01-07T15:26:29Z
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This PR adds these features: - Enable/disable caching If disabled, the library will no longer reload cached datasets files when applying transforms to the datasets. It is equivalent to setting `load_from_cache` to `False` in dataset transforms. ```python from datasets import set_caching_enabled set_caching_enabled(False) ``` - Allow unpicklable functions in `map` If an unpicklable function is used, then it's not possible to hash it to update the dataset fingerprint that is used to name cache files. To workaround that, a random fingerprint is generated instead and a warning is raised. ```python logger.warning( f"Transform {transform} couldn't be hashed properly, a random hash was used instead. " "Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and caching to work. " "If you reuse this transform, the caching mechanism will consider it to be different from the previous calls and recompute everything." ) ``` and also (open to discussion, EDIT: actually NOT included): - Enable/disable fingerprinting Fingerprinting allows to have one deterministic fingerprint per dataset state. A dataset fingerprint is updated after each transform. Re-running the same transforms on a dataset in a different session results in the same fingerprint. Disabling the fingerprinting mechanism makes all the fingerprints random. Since the caching mechanism uses fingerprints to name the cache files, then cache file names will be different. Therefore disabling fingerprinting will prevent the caching mechanism from reloading datasets files that have already been computed. Disabling fingerprinting may speed up the lib for users that don't care about this feature and don't want to use caching. ```python from datasets import set_fingerprinting_enabled set_fingerprinting_enabled(False) ``` Other details: - I renamed the `fingerprint` decorator to `fingerprint_transform` since the name was clearly not explicit. This decorator is used on dataset transform functions to allow them to update fingerprints. - I added some `ignore_kwargs` when decorating transforms with `fingerprint_transform`, to make the fingerprint update not sensible to kwargs like `load_from_cache` or `cache_file_name`. Todo: tests for set_fingerprinting_enabled + documentation for all the above features
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Fix importlib metdata import in py38
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2021-01-07T15:10:30Z
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In Python 3.8 there's no need to install `importlib_metadata` since it already exists as `importlib.metadata` in the standard lib.
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Some datasets miss dataset_infos.json or dummy_data.zip
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While working on dataset REAME generation script at https://github.com/madlag/datasets_readme_generator , I noticed that some datasets miss a dataset_infos.json : ``` c4 lm1b reclor wikihow ``` And some does not have a dummy_data.zip : ``` kor_nli math_dataset mlqa ms_marco newsgroup qa4mre qangaroo reddit_tifu super_glue trivia_qa web_of_science wmt14 wmt15 wmt16 wmt17 wmt18 wmt19 xtreme ``` But it seems that some of those last do have a "dummy" directory .
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Update Curiosity dialogs DatasetCard
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2021-01-07T13:59:27Z
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Update Curiosity dialogs DatasetCard There are some entries in the data fields section yet to be filled. There is little information regarding those fields.
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Update DBRD dataset card and download URL
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2021-01-07T12:16:43Z
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I've added the Dutch Bood Review Dataset (DBRD) during the recent sprint. This pull request makes two minor changes: 1. I'm changing the download URL from Google Drive to the dataset's GitHub release package. This is now possible because of PR #1316. 2. I've updated the dataset card. Cheers! 😄
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Update Coached Conv Pref DatasetCard
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2021-01-07T09:07:16Z
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Update Coached Conversation Preferance DatasetCard
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Update DialogRE DatasetCard
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2021-01-07T08:22:33Z
https://api.github.com/repos/huggingface/datasets/issues/1697/comments
Update the information in the dataset card for the Dialog RE dataset.
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https://api.github.com/repos/huggingface/datasets/issues/1696
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2021-01-08T00:33:05Z
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https://github.com/huggingface/datasets/issues/1696
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Unable to install datasets
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2021-01-07T07:24:37Z
https://api.github.com/repos/huggingface/datasets/issues/1696/comments
** Edit ** I believe there's a bug with the package when you're installing it with Python 3.9. I recommend sticking with previous versions. Thanks, @thomwolf for the insight! **Short description** I followed the instructions for installing datasets (https://huggingface.co/docs/datasets/installation.html). However, while I tried to download datasets using `pip install datasets` I got a massive error message after getting stuck at "Installing build dependencies..." I was wondering if this problem can be fixed by creating a virtual environment, but it didn't help. Can anyone offer some advice on how to fix this issue? Here's an error message: `(env) Gas-MacBook-Pro:Downloads destiny$ pip install datasets Collecting datasets Using cached datasets-1.2.0-py3-none-any.whl (159 kB) Collecting numpy>=1.17 Using cached numpy-1.19.5-cp39-cp39-macosx_10_9_x86_64.whl (15.6 MB) Collecting pyarrow>=0.17.1 Using cached pyarrow-2.0.0.tar.gz (58.9 MB) .... _configtest.c:9:5: warning: incompatible redeclaration of library function 'ceilf' [-Wincompatible-library-redeclaration] int ceilf (void); ^ _configtest.c:9:5: note: 'ceilf' is a builtin with type 'float (float)' _configtest.c:10:5: warning: incompatible redeclaration of library function 'rintf' [-Wincompatible-library-redeclaration] int rintf (void); ^ _configtest.c:10:5: note: 'rintf' is a builtin with type 'float (float)' _configtest.c:11:5: warning: incompatible redeclaration of library function 'truncf' [-Wincompatible-library-redeclaration] int truncf (void); ^ _configtest.c:11:5: note: 'truncf' is a builtin with type 'float (float)' _configtest.c:12:5: warning: incompatible redeclaration of library function 'sqrtf' [-Wincompatible-library-redeclaration] int sqrtf (void); ^ _configtest.c:12:5: note: 'sqrtf' is a builtin with type 'float (float)' _configtest.c:13:5: warning: incompatible redeclaration of library function 'log10f' [-Wincompatible-library-redeclaration] int log10f (void); ^ _configtest.c:13:5: note: 'log10f' is a builtin with type 'float (float)' _configtest.c:14:5: warning: incompatible redeclaration of library function 'logf' [-Wincompatible-library-redeclaration] int logf (void); ^ _configtest.c:14:5: note: 'logf' is a builtin with type 'float (float)' _configtest.c:15:5: warning: incompatible redeclaration of library function 'log1pf' [-Wincompatible-library-redeclaration] int log1pf (void); ^ _configtest.c:15:5: note: 'log1pf' is a builtin with type 'float (float)' _configtest.c:16:5: warning: incompatible redeclaration of library function 'expf' [-Wincompatible-library-redeclaration] int expf (void); ^ _configtest.c:16:5: note: 'expf' is a builtin with type 'float (float)' _configtest.c:17:5: warning: incompatible redeclaration of library function 'expm1f' [-Wincompatible-library-redeclaration] int expm1f (void); ^ _configtest.c:17:5: note: 'expm1f' is a builtin with type 'float (float)' _configtest.c:18:5: warning: incompatible redeclaration of library function 'asinf' [-Wincompatible-library-redeclaration] int asinf (void); ^ _configtest.c:18:5: note: 'asinf' is a builtin with type 'float (float)' _configtest.c:19:5: warning: incompatible redeclaration of library function 'acosf' [-Wincompatible-library-redeclaration] int acosf (void); ^ _configtest.c:19:5: note: 'acosf' is a builtin with type 'float (float)' _configtest.c:20:5: warning: incompatible redeclaration of library function 'atanf' [-Wincompatible-library-redeclaration] int atanf (void); ^ _configtest.c:20:5: note: 'atanf' is a builtin with type 'float (float)' _configtest.c:21:5: warning: incompatible redeclaration of library function 'asinhf' [-Wincompatible-library-redeclaration] int asinhf (void); ^ _configtest.c:21:5: note: 'asinhf' is a builtin with type 'float (float)' _configtest.c:22:5: warning: incompatible redeclaration of library function 'acoshf' [-Wincompatible-library-redeclaration] int acoshf (void); ^ _configtest.c:22:5: note: 'acoshf' is a builtin with type 'float (float)' _configtest.c:23:5: warning: incompatible redeclaration of library function 'atanhf' [-Wincompatible-library-redeclaration] int atanhf (void); ^ _configtest.c:23:5: note: 'atanhf' is a builtin with type 'float (float)' _configtest.c:24:5: warning: incompatible redeclaration of library function 'hypotf' [-Wincompatible-library-redeclaration] int hypotf (void); ^ _configtest.c:24:5: note: 'hypotf' is a builtin with type 'float (float, float)' _configtest.c:25:5: warning: incompatible redeclaration of library function 'atan2f' [-Wincompatible-library-redeclaration] int atan2f (void); ^ _configtest.c:25:5: note: 'atan2f' is a builtin with type 'float (float, float)' _configtest.c:26:5: warning: incompatible redeclaration of library function 'powf' [-Wincompatible-library-redeclaration] int powf (void); ^ _configtest.c:26:5: note: 'powf' is a builtin with type 'float (float, float)' _configtest.c:27:5: warning: incompatible redeclaration of library function 'fmodf' [-Wincompatible-library-redeclaration] int fmodf (void); ^ _configtest.c:27:5: note: 'fmodf' is a builtin with type 'float (float, float)' _configtest.c:28:5: warning: incompatible redeclaration of library function 'modff' [-Wincompatible-library-redeclaration] int modff (void); ^ _configtest.c:28:5: note: 'modff' is a builtin with type 'float (float, float *)' _configtest.c:29:5: warning: incompatible redeclaration of library function 'frexpf' [-Wincompatible-library-redeclaration] int frexpf (void); ^ _configtest.c:29:5: note: 'frexpf' is a builtin with type 'float (float, int *)' _configtest.c:30:5: warning: incompatible redeclaration of library function 'ldexpf' [-Wincompatible-library-redeclaration] int ldexpf (void); ^ _configtest.c:30:5: note: 'ldexpf' is a builtin with type 'float (float, int)' _configtest.c:31:5: warning: incompatible redeclaration of library function 'exp2f' [-Wincompatible-library-redeclaration] int exp2f (void); ^ _configtest.c:31:5: note: 'exp2f' is a builtin with type 'float (float)' _configtest.c:32:5: warning: incompatible redeclaration of library function 'log2f' [-Wincompatible-library-redeclaration] int log2f (void); ^ _configtest.c:32:5: note: 'log2f' is a builtin with type 'float (float)' _configtest.c:33:5: warning: incompatible redeclaration of library function 'copysignf' [-Wincompatible-library-redeclaration] int copysignf (void); ^ _configtest.c:33:5: note: 'copysignf' is a builtin with type 'float (float, float)' _configtest.c:34:5: warning: incompatible redeclaration of library function 'nextafterf' [-Wincompatible-library-redeclaration] int nextafterf (void); ^ _configtest.c:34:5: note: 'nextafterf' is a builtin with type 'float (float, float)' _configtest.c:35:5: warning: incompatible redeclaration of library function 'cbrtf' [-Wincompatible-library-redeclaration] int cbrtf (void); ^ _configtest.c:35:5: note: 'cbrtf' is a builtin with type 'float (float)' 35 warnings generated. clang _configtest.o -o _configtest success! removing: _configtest.c _configtest.o _configtest.o.d _configtest C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c _configtest.c:1:5: warning: incompatible redeclaration of library function 'sinl' [-Wincompatible-library-redeclaration] int sinl (void); ^ _configtest.c:1:5: note: 'sinl' is a builtin with type 'long double (long double)' _configtest.c:2:5: warning: incompatible redeclaration of library function 'cosl' [-Wincompatible-library-redeclaration] int cosl (void); ^ _configtest.c:2:5: note: 'cosl' is a builtin with type 'long double (long double)' _configtest.c:3:5: warning: incompatible redeclaration of library function 'tanl' [-Wincompatible-library-redeclaration] int tanl (void); ^ _configtest.c:3:5: note: 'tanl' is a builtin with type 'long double (long double)' _configtest.c:4:5: warning: incompatible redeclaration of library function 'sinhl' [-Wincompatible-library-redeclaration] int sinhl (void); ^ _configtest.c:4:5: note: 'sinhl' is a builtin with type 'long double (long double)' _configtest.c:5:5: warning: incompatible redeclaration of library function 'coshl' [-Wincompatible-library-redeclaration] int coshl (void); ^ _configtest.c:5:5: note: 'coshl' is a builtin with type 'long double (long double)' _configtest.c:6:5: warning: incompatible redeclaration of library function 'tanhl' [-Wincompatible-library-redeclaration] int tanhl (void); ^ _configtest.c:6:5: note: 'tanhl' is a builtin with type 'long double (long double)' _configtest.c:7:5: warning: incompatible redeclaration of library function 'fabsl' [-Wincompatible-library-redeclaration] int fabsl (void); ^ _configtest.c:7:5: note: 'fabsl' is a builtin with type 'long double (long double)' _configtest.c:8:5: warning: incompatible redeclaration of library function 'floorl' [-Wincompatible-library-redeclaration] int floorl (void); ^ _configtest.c:8:5: note: 'floorl' is a builtin with type 'long double (long double)' _configtest.c:9:5: warning: incompatible redeclaration of library function 'ceill' [-Wincompatible-library-redeclaration] int ceill (void); ^ _configtest.c:9:5: note: 'ceill' is a builtin with type 'long double (long double)' _configtest.c:10:5: warning: incompatible redeclaration of library function 'rintl' [-Wincompatible-library-redeclaration] int rintl (void); ^ _configtest.c:10:5: note: 'rintl' is a builtin with type 'long double (long double)' _configtest.c:11:5: warning: incompatible redeclaration of library function 'truncl' [-Wincompatible-library-redeclaration] int truncl (void); ^ _configtest.c:11:5: note: 'truncl' is a builtin with type 'long double (long double)' _configtest.c:12:5: warning: incompatible redeclaration of library function 'sqrtl' [-Wincompatible-library-redeclaration] int sqrtl (void); ^ _configtest.c:12:5: note: 'sqrtl' is a builtin with type 'long double (long double)' _configtest.c:13:5: warning: incompatible redeclaration of library function 'log10l' [-Wincompatible-library-redeclaration] int log10l (void); ^ _configtest.c:13:5: note: 'log10l' is a builtin with type 'long double (long double)' _configtest.c:14:5: warning: incompatible redeclaration of library function 'logl' [-Wincompatible-library-redeclaration] int logl (void); ^ _configtest.c:14:5: note: 'logl' is a builtin with type 'long double (long double)' _configtest.c:15:5: warning: incompatible redeclaration of library function 'log1pl' [-Wincompatible-library-redeclaration] int log1pl (void); ^ _configtest.c:15:5: note: 'log1pl' is a builtin with type 'long double (long double)' _configtest.c:16:5: warning: incompatible redeclaration of library function 'expl' [-Wincompatible-library-redeclaration] int expl (void); ^ _configtest.c:16:5: note: 'expl' is a builtin with type 'long double (long double)' _configtest.c:17:5: warning: incompatible redeclaration of library function 'expm1l' [-Wincompatible-library-redeclaration] int expm1l (void); ^ _configtest.c:17:5: note: 'expm1l' is a builtin with type 'long double (long double)' _configtest.c:18:5: warning: incompatible redeclaration of library function 'asinl' [-Wincompatible-library-redeclaration] int asinl (void); ^ _configtest.c:18:5: note: 'asinl' is a builtin with type 'long double (long double)' _configtest.c:19:5: warning: incompatible redeclaration of library function 'acosl' [-Wincompatible-library-redeclaration] int acosl (void); ^ _configtest.c:19:5: note: 'acosl' is a builtin with type 'long double (long double)' _configtest.c:20:5: warning: incompatible redeclaration of library function 'atanl' [-Wincompatible-library-redeclaration] int atanl (void); ^ _configtest.c:20:5: note: 'atanl' is a builtin with type 'long double (long double)' _configtest.c:21:5: warning: incompatible redeclaration of library function 'asinhl' [-Wincompatible-library-redeclaration] int asinhl (void); ^ _configtest.c:21:5: note: 'asinhl' is a builtin with type 'long double (long double)' _configtest.c:22:5: warning: incompatible redeclaration of library function 'acoshl' [-Wincompatible-library-redeclaration] int acoshl (void); ^ _configtest.c:22:5: note: 'acoshl' is a builtin with type 'long double (long double)' _configtest.c:23:5: warning: incompatible redeclaration of library function 'atanhl' [-Wincompatible-library-redeclaration] int atanhl (void); ^ _configtest.c:23:5: note: 'atanhl' is a builtin with type 'long double (long double)' _configtest.c:24:5: warning: incompatible redeclaration of library function 'hypotl' [-Wincompatible-library-redeclaration] int hypotl (void); ^ _configtest.c:24:5: note: 'hypotl' is a builtin with type 'long double (long double, long double)' _configtest.c:25:5: warning: incompatible redeclaration of library function 'atan2l' [-Wincompatible-library-redeclaration] int atan2l (void); ^ _configtest.c:25:5: note: 'atan2l' is a builtin with type 'long double (long double, long double)' _configtest.c:26:5: warning: incompatible redeclaration of library function 'powl' [-Wincompatible-library-redeclaration] int powl (void); ^ _configtest.c:26:5: note: 'powl' is a builtin with type 'long double (long double, long double)' _configtest.c:27:5: warning: incompatible redeclaration of library function 'fmodl' [-Wincompatible-library-redeclaration] int fmodl (void); ^ _configtest.c:27:5: note: 'fmodl' is a builtin with type 'long double (long double, long double)' _configtest.c:28:5: warning: incompatible redeclaration of library function 'modfl' [-Wincompatible-library-redeclaration] int modfl (void); ^ _configtest.c:28:5: note: 'modfl' is a builtin with type 'long double (long double, long double *)' _configtest.c:29:5: warning: incompatible redeclaration of library function 'frexpl' [-Wincompatible-library-redeclaration] int frexpl (void); ^ _configtest.c:29:5: note: 'frexpl' is a builtin with type 'long double (long double, int *)' _configtest.c:30:5: warning: incompatible redeclaration of library function 'ldexpl' [-Wincompatible-library-redeclaration] int ldexpl (void); ^ _configtest.c:30:5: note: 'ldexpl' is a builtin with type 'long double (long double, int)' _configtest.c:31:5: warning: incompatible redeclaration of library function 'exp2l' [-Wincompatible-library-redeclaration] int exp2l (void); ^ _configtest.c:31:5: note: 'exp2l' is a builtin with type 'long double (long double)' _configtest.c:32:5: warning: incompatible redeclaration of library function 'log2l' [-Wincompatible-library-redeclaration] int log2l (void); ^ _configtest.c:32:5: note: 'log2l' is a builtin with type 'long double (long double)' _configtest.c:33:5: warning: incompatible redeclaration of library function 'copysignl' [-Wincompatible-library-redeclaration] int copysignl (void); ^ _configtest.c:33:5: note: 'copysignl' is a builtin with type 'long double (long double, long double)' _configtest.c:34:5: warning: incompatible redeclaration of library function 'nextafterl' [-Wincompatible-library-redeclaration] int nextafterl (void); ^ _configtest.c:34:5: note: 'nextafterl' is a builtin with type 'long double (long double, long double)' _configtest.c:35:5: warning: incompatible redeclaration of library function 'cbrtl' [-Wincompatible-library-redeclaration] int cbrtl (void); ^ _configtest.c:35:5: note: 'cbrtl' is a builtin with type 'long double (long double)' 35 warnings generated. clang _configtest.o -o _configtest success! removing: _configtest.c _configtest.o _configtest.o.d _configtest C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c success! removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c success! removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c success! removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c success! removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c _configtest.c:8:12: error: use of undeclared identifier 'HAVE_DECL_SIGNBIT' (void) HAVE_DECL_SIGNBIT; ^ 1 error generated. failure. removing: _configtest.c _configtest.o C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c success! removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c success! removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c success! removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c success! removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c _configtest.c:1:5: warning: incompatible redeclaration of library function 'cabs' [-Wincompatible-library-redeclaration] int cabs (void); ^ _configtest.c:1:5: note: 'cabs' is a builtin with type 'double (_Complex double)' _configtest.c:2:5: warning: incompatible redeclaration of library function 'cacos' [-Wincompatible-library-redeclaration] int cacos (void); ^ _configtest.c:2:5: note: 'cacos' is a builtin with type '_Complex double (_Complex double)' _configtest.c:3:5: warning: incompatible redeclaration of library function 'cacosh' [-Wincompatible-library-redeclaration] int cacosh (void); ^ _configtest.c:3:5: note: 'cacosh' is a builtin with type '_Complex double (_Complex double)' _configtest.c:4:5: warning: incompatible redeclaration of library function 'carg' [-Wincompatible-library-redeclaration] int carg (void); ^ _configtest.c:4:5: note: 'carg' is a builtin with type 'double (_Complex double)' _configtest.c:5:5: warning: incompatible redeclaration of library function 'casin' [-Wincompatible-library-redeclaration] int casin (void); ^ _configtest.c:5:5: note: 'casin' is a builtin with type '_Complex double (_Complex double)' _configtest.c:6:5: warning: incompatible redeclaration of library function 'casinh' [-Wincompatible-library-redeclaration] int casinh (void); ^ _configtest.c:6:5: note: 'casinh' is a builtin with type '_Complex double (_Complex double)' _configtest.c:7:5: warning: incompatible redeclaration of library function 'catan' [-Wincompatible-library-redeclaration] int catan (void); ^ _configtest.c:7:5: note: 'catan' is a builtin with type '_Complex double (_Complex double)' _configtest.c:8:5: warning: incompatible redeclaration of library function 'catanh' [-Wincompatible-library-redeclaration] int catanh (void); ^ _configtest.c:8:5: note: 'catanh' is a builtin with type '_Complex double (_Complex double)' _configtest.c:9:5: warning: incompatible redeclaration of library function 'ccos' [-Wincompatible-library-redeclaration] int ccos (void); ^ _configtest.c:9:5: note: 'ccos' is a builtin with type '_Complex double (_Complex double)' _configtest.c:10:5: warning: incompatible redeclaration of library function 'ccosh' [-Wincompatible-library-redeclaration] int ccosh (void); ^ _configtest.c:10:5: note: 'ccosh' is a builtin with type '_Complex double (_Complex double)' _configtest.c:11:5: warning: incompatible redeclaration of library function 'cexp' [-Wincompatible-library-redeclaration] int cexp (void); ^ _configtest.c:11:5: note: 'cexp' is a builtin with type '_Complex double (_Complex double)' _configtest.c:12:5: warning: incompatible redeclaration of library function 'cimag' [-Wincompatible-library-redeclaration] int cimag (void); ^ _configtest.c:12:5: note: 'cimag' is a builtin with type 'double (_Complex double)' _configtest.c:13:5: warning: incompatible redeclaration of library function 'clog' [-Wincompatible-library-redeclaration] int clog (void); ^ _configtest.c:13:5: note: 'clog' is a builtin with type '_Complex double (_Complex double)' _configtest.c:14:5: warning: incompatible redeclaration of library function 'conj' [-Wincompatible-library-redeclaration] int conj (void); ^ _configtest.c:14:5: note: 'conj' is a builtin with type '_Complex double (_Complex double)' _configtest.c:15:5: warning: incompatible redeclaration of library function 'cpow' [-Wincompatible-library-redeclaration] int cpow (void); ^ _configtest.c:15:5: note: 'cpow' is a builtin with type '_Complex double (_Complex double, _Complex double)' _configtest.c:16:5: warning: incompatible redeclaration of library function 'cproj' [-Wincompatible-library-redeclaration] int cproj (void); ^ _configtest.c:16:5: note: 'cproj' is a builtin with type '_Complex double (_Complex double)' _configtest.c:17:5: warning: incompatible redeclaration of library function 'creal' [-Wincompatible-library-redeclaration] int creal (void); ^ _configtest.c:17:5: note: 'creal' is a builtin with type 'double (_Complex double)' _configtest.c:18:5: warning: incompatible redeclaration of library function 'csin' [-Wincompatible-library-redeclaration] int csin (void); ^ _configtest.c:18:5: note: 'csin' is a builtin with type '_Complex double (_Complex double)' _configtest.c:19:5: warning: incompatible redeclaration of library function 'csinh' [-Wincompatible-library-redeclaration] int csinh (void); ^ _configtest.c:19:5: note: 'csinh' is a builtin with type '_Complex double (_Complex double)' _configtest.c:20:5: warning: incompatible redeclaration of library function 'csqrt' [-Wincompatible-library-redeclaration] int csqrt (void); ^ _configtest.c:20:5: note: 'csqrt' is a builtin with type '_Complex double (_Complex double)' _configtest.c:21:5: warning: incompatible redeclaration of library function 'ctan' [-Wincompatible-library-redeclaration] int ctan (void); ^ _configtest.c:21:5: note: 'ctan' is a builtin with type '_Complex double (_Complex double)' _configtest.c:22:5: warning: incompatible redeclaration of library function 'ctanh' [-Wincompatible-library-redeclaration] int ctanh (void); ^ _configtest.c:22:5: note: 'ctanh' is a builtin with type '_Complex double (_Complex double)' 22 warnings generated. clang _configtest.o -o _configtest success! removing: _configtest.c _configtest.o _configtest.o.d _configtest C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c _configtest.c:1:5: warning: incompatible redeclaration of library function 'cabsf' [-Wincompatible-library-redeclaration] int cabsf (void); ^ _configtest.c:1:5: note: 'cabsf' is a builtin with type 'float (_Complex float)' _configtest.c:2:5: warning: incompatible redeclaration of library function 'cacosf' [-Wincompatible-library-redeclaration] int cacosf (void); ^ _configtest.c:2:5: note: 'cacosf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:3:5: warning: incompatible redeclaration of library function 'cacoshf' [-Wincompatible-library-redeclaration] int cacoshf (void); ^ _configtest.c:3:5: note: 'cacoshf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:4:5: warning: incompatible redeclaration of library function 'cargf' [-Wincompatible-library-redeclaration] int cargf (void); ^ _configtest.c:4:5: note: 'cargf' is a builtin with type 'float (_Complex float)' _configtest.c:5:5: warning: incompatible redeclaration of library function 'casinf' [-Wincompatible-library-redeclaration] int casinf (void); ^ _configtest.c:5:5: note: 'casinf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:6:5: warning: incompatible redeclaration of library function 'casinhf' [-Wincompatible-library-redeclaration] int casinhf (void); ^ _configtest.c:6:5: note: 'casinhf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:7:5: warning: incompatible redeclaration of library function 'catanf' [-Wincompatible-library-redeclaration] int catanf (void); ^ _configtest.c:7:5: note: 'catanf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:8:5: warning: incompatible redeclaration of library function 'catanhf' [-Wincompatible-library-redeclaration] int catanhf (void); ^ _configtest.c:8:5: note: 'catanhf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:9:5: warning: incompatible redeclaration of library function 'ccosf' [-Wincompatible-library-redeclaration] int ccosf (void); ^ _configtest.c:9:5: note: 'ccosf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:10:5: warning: incompatible redeclaration of library function 'ccoshf' [-Wincompatible-library-redeclaration] int ccoshf (void); ^ _configtest.c:10:5: note: 'ccoshf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:11:5: warning: incompatible redeclaration of library function 'cexpf' [-Wincompatible-library-redeclaration] int cexpf (void); ^ _configtest.c:11:5: note: 'cexpf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:12:5: warning: incompatible redeclaration of library function 'cimagf' [-Wincompatible-library-redeclaration] int cimagf (void); ^ _configtest.c:12:5: note: 'cimagf' is a builtin with type 'float (_Complex float)' _configtest.c:13:5: warning: incompatible redeclaration of library function 'clogf' [-Wincompatible-library-redeclaration] int clogf (void); ^ _configtest.c:13:5: note: 'clogf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:14:5: warning: incompatible redeclaration of library function 'conjf' [-Wincompatible-library-redeclaration] int conjf (void); ^ _configtest.c:14:5: note: 'conjf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:15:5: warning: incompatible redeclaration of library function 'cpowf' [-Wincompatible-library-redeclaration] int cpowf (void); ^ _configtest.c:15:5: note: 'cpowf' is a builtin with type '_Complex float (_Complex float, _Complex float)' _configtest.c:16:5: warning: incompatible redeclaration of library function 'cprojf' [-Wincompatible-library-redeclaration] int cprojf (void); ^ _configtest.c:16:5: note: 'cprojf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:17:5: warning: incompatible redeclaration of library function 'crealf' [-Wincompatible-library-redeclaration] int crealf (void); ^ _configtest.c:17:5: note: 'crealf' is a builtin with type 'float (_Complex float)' _configtest.c:18:5: warning: incompatible redeclaration of library function 'csinf' [-Wincompatible-library-redeclaration] int csinf (void); ^ _configtest.c:18:5: note: 'csinf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:19:5: warning: incompatible redeclaration of library function 'csinhf' [-Wincompatible-library-redeclaration] int csinhf (void); ^ _configtest.c:19:5: note: 'csinhf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:20:5: warning: incompatible redeclaration of library function 'csqrtf' [-Wincompatible-library-redeclaration] int csqrtf (void); ^ _configtest.c:20:5: note: 'csqrtf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:21:5: warning: incompatible redeclaration of library function 'ctanf' [-Wincompatible-library-redeclaration] int ctanf (void); ^ _configtest.c:21:5: note: 'ctanf' is a builtin with type '_Complex float (_Complex float)' _configtest.c:22:5: warning: incompatible redeclaration of library function 'ctanhf' [-Wincompatible-library-redeclaration] int ctanhf (void); ^ _configtest.c:22:5: note: 'ctanhf' is a builtin with type '_Complex float (_Complex float)' 22 warnings generated. clang _configtest.o -o _configtest success! removing: _configtest.c _configtest.o _configtest.o.d _configtest C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c _configtest.c:1:5: warning: incompatible redeclaration of library function 'cabsl' [-Wincompatible-library-redeclaration] int cabsl (void); ^ _configtest.c:1:5: note: 'cabsl' is a builtin with type 'long double (_Complex long double)' _configtest.c:2:5: warning: incompatible redeclaration of library function 'cacosl' [-Wincompatible-library-redeclaration] int cacosl (void); ^ _configtest.c:2:5: note: 'cacosl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:3:5: warning: incompatible redeclaration of library function 'cacoshl' [-Wincompatible-library-redeclaration] int cacoshl (void); ^ _configtest.c:3:5: note: 'cacoshl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:4:5: warning: incompatible redeclaration of library function 'cargl' [-Wincompatible-library-redeclaration] int cargl (void); ^ _configtest.c:4:5: note: 'cargl' is a builtin with type 'long double (_Complex long double)' _configtest.c:5:5: warning: incompatible redeclaration of library function 'casinl' [-Wincompatible-library-redeclaration] int casinl (void); ^ _configtest.c:5:5: note: 'casinl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:6:5: warning: incompatible redeclaration of library function 'casinhl' [-Wincompatible-library-redeclaration] int casinhl (void); ^ _configtest.c:6:5: note: 'casinhl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:7:5: warning: incompatible redeclaration of library function 'catanl' [-Wincompatible-library-redeclaration] int catanl (void); ^ _configtest.c:7:5: note: 'catanl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:8:5: warning: incompatible redeclaration of library function 'catanhl' [-Wincompatible-library-redeclaration] int catanhl (void); ^ _configtest.c:8:5: note: 'catanhl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:9:5: warning: incompatible redeclaration of library function 'ccosl' [-Wincompatible-library-redeclaration] int ccosl (void); ^ _configtest.c:9:5: note: 'ccosl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:10:5: warning: incompatible redeclaration of library function 'ccoshl' [-Wincompatible-library-redeclaration] int ccoshl (void); ^ _configtest.c:10:5: note: 'ccoshl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:11:5: warning: incompatible redeclaration of library function 'cexpl' [-Wincompatible-library-redeclaration] int cexpl (void); ^ _configtest.c:11:5: note: 'cexpl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:12:5: warning: incompatible redeclaration of library function 'cimagl' [-Wincompatible-library-redeclaration] int cimagl (void); ^ _configtest.c:12:5: note: 'cimagl' is a builtin with type 'long double (_Complex long double)' _configtest.c:13:5: warning: incompatible redeclaration of library function 'clogl' [-Wincompatible-library-redeclaration] int clogl (void); ^ _configtest.c:13:5: note: 'clogl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:14:5: warning: incompatible redeclaration of library function 'conjl' [-Wincompatible-library-redeclaration] int conjl (void); ^ _configtest.c:14:5: note: 'conjl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:15:5: warning: incompatible redeclaration of library function 'cpowl' [-Wincompatible-library-redeclaration] int cpowl (void); ^ _configtest.c:15:5: note: 'cpowl' is a builtin with type '_Complex long double (_Complex long double, _Complex long double)' _configtest.c:16:5: warning: incompatible redeclaration of library function 'cprojl' [-Wincompatible-library-redeclaration] int cprojl (void); ^ _configtest.c:16:5: note: 'cprojl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:17:5: warning: incompatible redeclaration of library function 'creall' [-Wincompatible-library-redeclaration] int creall (void); ^ _configtest.c:17:5: note: 'creall' is a builtin with type 'long double (_Complex long double)' _configtest.c:18:5: warning: incompatible redeclaration of library function 'csinl' [-Wincompatible-library-redeclaration] int csinl (void); ^ _configtest.c:18:5: note: 'csinl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:19:5: warning: incompatible redeclaration of library function 'csinhl' [-Wincompatible-library-redeclaration] int csinhl (void); ^ _configtest.c:19:5: note: 'csinhl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:20:5: warning: incompatible redeclaration of library function 'csqrtl' [-Wincompatible-library-redeclaration] int csqrtl (void); ^ _configtest.c:20:5: note: 'csqrtl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:21:5: warning: incompatible redeclaration of library function 'ctanl' [-Wincompatible-library-redeclaration] int ctanl (void); ^ _configtest.c:21:5: note: 'ctanl' is a builtin with type '_Complex long double (_Complex long double)' _configtest.c:22:5: warning: incompatible redeclaration of library function 'ctanhl' [-Wincompatible-library-redeclaration] int ctanhl (void); ^ _configtest.c:22:5: note: 'ctanhl' is a builtin with type '_Complex long double (_Complex long double)' 22 warnings generated. clang _configtest.o -o _configtest success! removing: _configtest.c _configtest.o _configtest.o.d _configtest C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c _configtest.c:2:12: warning: unused function 'static_func' [-Wunused-function] static int static_func (char * restrict a) ^ 1 warning generated. success! removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c _configtest.c:3:19: warning: unused function 'static_func' [-Wunused-function] static inline int static_func (void) ^ 1 warning generated. success! removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c removing: _configtest.c _configtest.o _configtest.o.d File: build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/config.h #define SIZEOF_PY_INTPTR_T 8 #define SIZEOF_OFF_T 8 #define SIZEOF_PY_LONG_LONG 8 #define MATHLIB #define HAVE_SIN 1 #define HAVE_COS 1 #define HAVE_TAN 1 #define HAVE_SINH 1 #define HAVE_COSH 1 #define HAVE_TANH 1 #define HAVE_FABS 1 #define HAVE_FLOOR 1 #define HAVE_CEIL 1 #define HAVE_SQRT 1 #define HAVE_LOG10 1 #define HAVE_LOG 1 #define HAVE_EXP 1 #define HAVE_ASIN 1 #define HAVE_ACOS 1 #define HAVE_ATAN 1 #define HAVE_FMOD 1 #define HAVE_MODF 1 #define HAVE_FREXP 1 #define HAVE_LDEXP 1 #define HAVE_RINT 1 #define HAVE_TRUNC 1 #define HAVE_EXP2 1 #define HAVE_LOG2 1 #define HAVE_ATAN2 1 #define HAVE_POW 1 #define HAVE_NEXTAFTER 1 #define HAVE_STRTOLL 1 #define HAVE_STRTOULL 1 #define HAVE_CBRT 1 #define HAVE_STRTOLD_L 1 #define HAVE_BACKTRACE 1 #define HAVE_MADVISE 1 #define HAVE_XMMINTRIN_H 1 #define HAVE_EMMINTRIN_H 1 #define HAVE_XLOCALE_H 1 #define HAVE_DLFCN_H 1 #define HAVE_SYS_MMAN_H 1 #define HAVE___BUILTIN_ISNAN 1 #define HAVE___BUILTIN_ISINF 1 #define HAVE___BUILTIN_ISFINITE 1 #define HAVE___BUILTIN_BSWAP32 1 #define HAVE___BUILTIN_BSWAP64 1 #define HAVE___BUILTIN_EXPECT 1 #define HAVE___BUILTIN_MUL_OVERFLOW 1 #define HAVE___BUILTIN_CPU_SUPPORTS 1 #define HAVE__M_FROM_INT64 1 #define HAVE__MM_LOAD_PS 1 #define HAVE__MM_PREFETCH 1 #define HAVE__MM_LOAD_PD 1 #define HAVE___BUILTIN_PREFETCH 1 #define HAVE_LINK_AVX 1 #define HAVE_LINK_AVX2 1 #define HAVE_XGETBV 1 #define HAVE_ATTRIBUTE_NONNULL 1 #define HAVE_ATTRIBUTE_TARGET_AVX 1 #define HAVE_ATTRIBUTE_TARGET_AVX2 1 #define HAVE___THREAD 1 #define HAVE_SINF 1 #define HAVE_COSF 1 #define HAVE_TANF 1 #define HAVE_SINHF 1 #define HAVE_COSHF 1 #define HAVE_TANHF 1 #define HAVE_FABSF 1 #define HAVE_FLOORF 1 #define HAVE_CEILF 1 #define HAVE_RINTF 1 #define HAVE_TRUNCF 1 #define HAVE_SQRTF 1 #define HAVE_LOG10F 1 #define HAVE_LOGF 1 #define HAVE_LOG1PF 1 #define HAVE_EXPF 1 #define HAVE_EXPM1F 1 #define HAVE_ASINF 1 #define HAVE_ACOSF 1 #define HAVE_ATANF 1 #define HAVE_ASINHF 1 #define HAVE_ACOSHF 1 #define HAVE_ATANHF 1 #define HAVE_HYPOTF 1 #define HAVE_ATAN2F 1 #define HAVE_POWF 1 #define HAVE_FMODF 1 #define HAVE_MODFF 1 #define HAVE_FREXPF 1 #define HAVE_LDEXPF 1 #define HAVE_EXP2F 1 #define HAVE_LOG2F 1 #define HAVE_COPYSIGNF 1 #define HAVE_NEXTAFTERF 1 #define HAVE_CBRTF 1 #define HAVE_SINL 1 #define HAVE_COSL 1 #define HAVE_TANL 1 #define HAVE_SINHL 1 #define HAVE_COSHL 1 #define HAVE_TANHL 1 #define HAVE_FABSL 1 #define HAVE_FLOORL 1 #define HAVE_CEILL 1 #define HAVE_RINTL 1 #define HAVE_TRUNCL 1 #define HAVE_SQRTL 1 #define HAVE_LOG10L 1 #define HAVE_LOGL 1 #define HAVE_LOG1PL 1 #define HAVE_EXPL 1 #define HAVE_EXPM1L 1 #define HAVE_ASINL 1 #define HAVE_ACOSL 1 #define HAVE_ATANL 1 #define HAVE_ASINHL 1 #define HAVE_ACOSHL 1 #define HAVE_ATANHL 1 #define HAVE_HYPOTL 1 #define HAVE_ATAN2L 1 #define HAVE_POWL 1 #define HAVE_FMODL 1 #define HAVE_MODFL 1 #define HAVE_FREXPL 1 #define HAVE_LDEXPL 1 #define HAVE_EXP2L 1 #define HAVE_LOG2L 1 #define HAVE_COPYSIGNL 1 #define HAVE_NEXTAFTERL 1 #define HAVE_CBRTL 1 #define HAVE_DECL_SIGNBIT #define HAVE_COMPLEX_H 1 #define HAVE_CABS 1 #define HAVE_CACOS 1 #define HAVE_CACOSH 1 #define HAVE_CARG 1 #define HAVE_CASIN 1 #define HAVE_CASINH 1 #define HAVE_CATAN 1 #define HAVE_CATANH 1 #define HAVE_CCOS 1 #define HAVE_CCOSH 1 #define HAVE_CEXP 1 #define HAVE_CIMAG 1 #define HAVE_CLOG 1 #define HAVE_CONJ 1 #define HAVE_CPOW 1 #define HAVE_CPROJ 1 #define HAVE_CREAL 1 #define HAVE_CSIN 1 #define HAVE_CSINH 1 #define HAVE_CSQRT 1 #define HAVE_CTAN 1 #define HAVE_CTANH 1 #define HAVE_CABSF 1 #define HAVE_CACOSF 1 #define HAVE_CACOSHF 1 #define HAVE_CARGF 1 #define HAVE_CASINF 1 #define HAVE_CASINHF 1 #define HAVE_CATANF 1 #define HAVE_CATANHF 1 #define HAVE_CCOSF 1 #define HAVE_CCOSHF 1 #define HAVE_CEXPF 1 #define HAVE_CIMAGF 1 #define HAVE_CLOGF 1 #define HAVE_CONJF 1 #define HAVE_CPOWF 1 #define HAVE_CPROJF 1 #define HAVE_CREALF 1 #define HAVE_CSINF 1 #define HAVE_CSINHF 1 #define HAVE_CSQRTF 1 #define HAVE_CTANF 1 #define HAVE_CTANHF 1 #define HAVE_CABSL 1 #define HAVE_CACOSL 1 #define HAVE_CACOSHL 1 #define HAVE_CARGL 1 #define HAVE_CASINL 1 #define HAVE_CASINHL 1 #define HAVE_CATANL 1 #define HAVE_CATANHL 1 #define HAVE_CCOSL 1 #define HAVE_CCOSHL 1 #define HAVE_CEXPL 1 #define HAVE_CIMAGL 1 #define HAVE_CLOGL 1 #define HAVE_CONJL 1 #define HAVE_CPOWL 1 #define HAVE_CPROJL 1 #define HAVE_CREALL 1 #define HAVE_CSINL 1 #define HAVE_CSINHL 1 #define HAVE_CSQRTL 1 #define HAVE_CTANL 1 #define HAVE_CTANHL 1 #define NPY_RESTRICT restrict #define NPY_RELAXED_STRIDES_CHECKING 1 #define HAVE_LDOUBLE_INTEL_EXTENDED_16_BYTES_LE 1 #define NPY_PY3K 1 #ifndef __cplusplus /* #undef inline */ #endif #ifndef _NPY_NPY_CONFIG_H_ #error config.h should never be included directly, include npy_config.h instead #endif EOF adding 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/config.h' to sources. Generating build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/_numpyconfig.h C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c _configtest.c:1:5: warning: incompatible redeclaration of library function 'exp' [-Wincompatible-library-redeclaration] int exp (void); ^ _configtest.c:1:5: note: 'exp' is a builtin with type 'double (double)' 1 warning generated. clang _configtest.o -o _configtest success! removing: _configtest.c _configtest.o _configtest.o.d _configtest C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c success! removing: _configtest.c _configtest.o _configtest.o.d C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -c' clang: _configtest.c success! removing: _configtest.c _configtest.o _configtest.o.d File: build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/_numpyconfig.h #define NPY_SIZEOF_SHORT SIZEOF_SHORT #define NPY_SIZEOF_INT SIZEOF_INT #define NPY_SIZEOF_LONG SIZEOF_LONG #define NPY_SIZEOF_FLOAT 4 #define NPY_SIZEOF_COMPLEX_FLOAT 8 #define NPY_SIZEOF_DOUBLE 8 #define NPY_SIZEOF_COMPLEX_DOUBLE 16 #define NPY_SIZEOF_LONGDOUBLE 16 #define NPY_SIZEOF_COMPLEX_LONGDOUBLE 32 #define NPY_SIZEOF_PY_INTPTR_T 8 #define NPY_SIZEOF_OFF_T 8 #define NPY_SIZEOF_PY_LONG_LONG 8 #define NPY_SIZEOF_LONGLONG 8 #define NPY_NO_SMP 0 #define NPY_HAVE_DECL_ISNAN #define NPY_HAVE_DECL_ISINF #define NPY_HAVE_DECL_ISFINITE #define NPY_HAVE_DECL_SIGNBIT #define NPY_USE_C99_COMPLEX 1 #define NPY_HAVE_COMPLEX_DOUBLE 1 #define NPY_HAVE_COMPLEX_FLOAT 1 #define NPY_HAVE_COMPLEX_LONG_DOUBLE 1 #define NPY_RELAXED_STRIDES_CHECKING 1 #define NPY_USE_C99_FORMATS 1 #define NPY_VISIBILITY_HIDDEN __attribute__((visibility("hidden"))) #define NPY_ABI_VERSION 0x01000009 #define NPY_API_VERSION 0x0000000D #ifndef __STDC_FORMAT_MACROS #define __STDC_FORMAT_MACROS 1 #endif EOF adding 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/_numpyconfig.h' to sources. executing numpy/core/code_generators/generate_numpy_api.py adding 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/__multiarray_api.h' to sources. numpy.core - nothing done with h_files = ['build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/config.h', 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/__multiarray_api.h'] building extension "numpy.core._multiarray_tests" sources creating build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/_multiarray_tests.c building extension "numpy.core._multiarray_umath" sources adding 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/config.h' to sources. adding 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/_numpyconfig.h' to sources. executing numpy/core/code_generators/generate_numpy_api.py adding 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/__multiarray_api.h' to sources. executing numpy/core/code_generators/generate_ufunc_api.py adding 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/__ufunc_api.h' to sources. conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/arraytypes.c conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/einsum.c conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/lowlevel_strided_loops.c conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/nditer_templ.c conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/scalartypes.c creating build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/funcs.inc adding 'build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath' to include_dirs. conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/simd.inc conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/loops.h conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/loops.c conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/matmul.h conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/matmul.c conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/scalarmath.c adding 'build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath' to include_dirs. conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/common/templ_common.h adding 'build/src.macosx-10.15-x86_64-3.9/numpy/core/src/common' to include_dirs. numpy.core - nothing done with h_files = ['build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/funcs.inc', 'build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/simd.inc', 'build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/loops.h', 'build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/matmul.h', 'build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-10.15-x86_64-3.9/numpy/core/src/common/templ_common.h', 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/config.h', 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/__ufunc_api.h'] building extension "numpy.core._umath_tests" sources conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/_umath_tests.c building extension "numpy.core._rational_tests" sources conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/_rational_tests.c building extension "numpy.core._struct_ufunc_tests" sources conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/_struct_ufunc_tests.c building extension "numpy.core._operand_flag_tests" sources conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/_operand_flag_tests.c building extension "numpy.fft.fftpack_lite" sources building extension "numpy.linalg.lapack_lite" sources creating build/src.macosx-10.15-x86_64-3.9/numpy/linalg adding 'numpy/linalg/lapack_lite/python_xerbla.c' to sources. building extension "numpy.linalg._umath_linalg" sources adding 'numpy/linalg/lapack_lite/python_xerbla.c' to sources. conv_template:> build/src.macosx-10.15-x86_64-3.9/numpy/linalg/umath_linalg.c building extension "numpy.random.mtrand" sources creating build/src.macosx-10.15-x86_64-3.9/numpy/random building data_files sources build_src: building npy-pkg config files running build_py creating build/lib.macosx-10.15-x86_64-3.9 creating build/lib.macosx-10.15-x86_64-3.9/numpy copying numpy/conftest.py -> build/lib.macosx-10.15-x86_64-3.9/numpy copying numpy/version.py -> build/lib.macosx-10.15-x86_64-3.9/numpy copying numpy/_globals.py -> build/lib.macosx-10.15-x86_64-3.9/numpy copying numpy/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy copying numpy/dual.py -> build/lib.macosx-10.15-x86_64-3.9/numpy copying numpy/_distributor_init.py -> build/lib.macosx-10.15-x86_64-3.9/numpy copying numpy/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy copying numpy/ctypeslib.py -> build/lib.macosx-10.15-x86_64-3.9/numpy copying numpy/matlib.py -> build/lib.macosx-10.15-x86_64-3.9/numpy copying numpy/_pytesttester.py -> build/lib.macosx-10.15-x86_64-3.9/numpy copying build/src.macosx-10.15-x86_64-3.9/numpy/__config__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy creating build/lib.macosx-10.15-x86_64-3.9/numpy/compat copying numpy/compat/py3k.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/compat copying numpy/compat/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/compat copying numpy/compat/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/compat copying numpy/compat/_inspect.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/compat creating build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/umath.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/fromnumeric.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/_dtype.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/_add_newdocs.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/_methods.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/_internal.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/_string_helpers.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/multiarray.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/records.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/setup_common.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/_aliased_types.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/memmap.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/overrides.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/getlimits.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/_dtype_ctypes.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/defchararray.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/shape_base.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/machar.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/numeric.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/function_base.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/einsumfunc.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/umath_tests.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/info.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/numerictypes.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/_type_aliases.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/cversions.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/arrayprint.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core copying numpy/core/code_generators/generate_numpy_api.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/core creating build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/unixccompiler.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/numpy_distribution.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/conv_template.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/cpuinfo.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/ccompiler.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/msvc9compiler.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/npy_pkg_config.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/compat.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/misc_util.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/log.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/line_endings.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/lib2def.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/pathccompiler.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/system_info.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/core.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/__version__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/exec_command.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/from_template.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/mingw32ccompiler.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/extension.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/msvccompiler.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/intelccompiler.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying numpy/distutils/info.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils copying build/src.macosx-10.15-x86_64-3.9/numpy/distutils/__config__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils creating build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/build.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/config_compiler.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/build_ext.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/config.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/install_headers.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/build_py.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/build_src.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/sdist.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/build_scripts.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/bdist_rpm.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/install_clib.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/build_clib.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/autodist.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/egg_info.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/install.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/develop.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command copying numpy/distutils/command/install_data.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/command creating build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/gnu.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/compaq.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/intel.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/none.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/nag.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/pg.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/ibm.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/sun.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/lahey.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/g95.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/mips.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/hpux.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/environment.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/pathf95.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/absoft.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler copying numpy/distutils/fcompiler/vast.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/distutils/fcompiler creating build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/misc.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/internals.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/creation.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/constants.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/ufuncs.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/broadcasting.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/basics.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/subclassing.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/indexing.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/byteswapping.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/structured_arrays.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc copying numpy/doc/glossary.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/doc creating build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/cfuncs.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/common_rules.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/crackfortran.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/cb_rules.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/rules.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/f2py2e.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/func2subr.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/__version__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/diagnose.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/capi_maps.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/f90mod_rules.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/f2py_testing.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/use_rules.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/info.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/auxfuncs.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py copying numpy/f2py/__main__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/f2py creating build/lib.macosx-10.15-x86_64-3.9/numpy/fft copying numpy/fft/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/fft copying numpy/fft/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/fft copying numpy/fft/helper.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/fft copying numpy/fft/fftpack.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/fft copying numpy/fft/info.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/fft creating build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/_iotools.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/mixins.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/nanfunctions.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/recfunctions.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/histograms.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/scimath.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/_version.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/user_array.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/format.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/twodim_base.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/financial.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/index_tricks.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/npyio.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/shape_base.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/stride_tricks.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/utils.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/arrayterator.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/function_base.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/arraysetops.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/arraypad.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/type_check.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/info.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/polynomial.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/_datasource.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib copying numpy/lib/ufunclike.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/lib creating build/lib.macosx-10.15-x86_64-3.9/numpy/linalg copying numpy/linalg/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/linalg copying numpy/linalg/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/linalg copying numpy/linalg/linalg.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/linalg copying numpy/linalg/info.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/linalg creating build/lib.macosx-10.15-x86_64-3.9/numpy/ma copying numpy/ma/extras.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/ma copying numpy/ma/version.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/ma copying numpy/ma/testutils.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/ma copying numpy/ma/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/ma copying numpy/ma/core.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/ma copying numpy/ma/bench.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/ma copying numpy/ma/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/ma copying numpy/ma/timer_comparison.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/ma copying numpy/ma/mrecords.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/ma creating build/lib.macosx-10.15-x86_64-3.9/numpy/matrixlib copying numpy/matrixlib/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/matrixlib copying numpy/matrixlib/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/matrixlib copying numpy/matrixlib/defmatrix.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/matrixlib creating build/lib.macosx-10.15-x86_64-3.9/numpy/polynomial copying numpy/polynomial/laguerre.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/polynomial copying numpy/polynomial/_polybase.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/polynomial copying numpy/polynomial/polyutils.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/polynomial copying numpy/polynomial/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/polynomial copying numpy/polynomial/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/polynomial copying numpy/polynomial/hermite_e.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/polynomial copying numpy/polynomial/chebyshev.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/polynomial copying numpy/polynomial/polynomial.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/polynomial copying numpy/polynomial/legendre.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/polynomial copying numpy/polynomial/hermite.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/polynomial creating build/lib.macosx-10.15-x86_64-3.9/numpy/random copying numpy/random/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/random copying numpy/random/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/random copying numpy/random/info.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/random creating build/lib.macosx-10.15-x86_64-3.9/numpy/testing copying numpy/testing/nosetester.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing copying numpy/testing/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing copying numpy/testing/noseclasses.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing copying numpy/testing/setup.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing copying numpy/testing/utils.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing copying numpy/testing/print_coercion_tables.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing copying numpy/testing/decorators.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing creating build/lib.macosx-10.15-x86_64-3.9/numpy/testing/_private copying numpy/testing/_private/nosetester.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing/_private copying numpy/testing/_private/__init__.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing/_private copying numpy/testing/_private/noseclasses.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing/_private copying numpy/testing/_private/utils.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing/_private copying numpy/testing/_private/parameterized.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing/_private copying numpy/testing/_private/decorators.py -> build/lib.macosx-10.15-x86_64-3.9/numpy/testing/_private running build_clib customize UnixCCompiler customize UnixCCompiler using build_clib building 'npymath' library compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers creating build/temp.macosx-10.15-x86_64-3.9 creating build/temp.macosx-10.15-x86_64-3.9/numpy creating build/temp.macosx-10.15-x86_64-3.9/numpy/core creating build/temp.macosx-10.15-x86_64-3.9/numpy/core/src creating build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/npymath creating build/temp.macosx-10.15-x86_64-3.9/build creating build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9 creating build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy creating build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core creating build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src creating build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath compile options: '-Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' clang: numpy/core/src/npymath/npy_math.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath/npy_math_complex.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath/ieee754.c clang: numpy/core/src/npymath/halffloat.c numpy/core/src/npymath/npy_math_complex.c.src:48:33: warning: unused variable 'tiny' [-Wunused-const-variable] static const volatile npy_float tiny = 3.9443045e-31f; ^ numpy/core/src/npymath/npy_math_complex.c.src:67:25: warning: unused variable 'c_halff' [-Wunused-const-variable] static const npy_cfloat c_halff = {0.5F, 0.0}; ^ numpy/core/src/npymath/npy_math_complex.c.src:68:25: warning: unused variable 'c_if' [-Wunused-const-variable] static const npy_cfloat c_if = {0.0, 1.0F}; ^ numpy/core/src/npymath/npy_math_complex.c.src:69:25: warning: unused variable 'c_ihalff' [-Wunused-const-variable] static const npy_cfloat c_ihalff = {0.0, 0.5F}; ^ numpy/core/src/npymath/npy_math_complex.c.src:79:1: warning: unused function 'caddf' [-Wunused-function] caddf(npy_cfloat a, npy_cfloat b) ^ numpy/core/src/npymath/npy_math_complex.c.src:87:1: warning: unused function 'csubf' [-Wunused-function] csubf(npy_cfloat a, npy_cfloat b) ^ numpy/core/src/npymath/npy_math_complex.c.src:137:1: warning: unused function 'cnegf' [-Wunused-function] cnegf(npy_cfloat a) ^ numpy/core/src/npymath/npy_math_complex.c.src:144:1: warning: unused function 'cmulif' [-Wunused-function] cmulif(npy_cfloat a) ^ numpy/core/src/npymath/npy_math_complex.c.src:67:26: warning: unused variable 'c_half' [-Wunused-const-variable] static const npy_cdouble c_half = {0.5, 0.0}; ^ numpy/core/src/npymath/npy_math_complex.c.src:68:26: warning: unused variable 'c_i' [-Wunused-const-variable] static const npy_cdouble c_i = {0.0, 1.0}; ^ numpy/core/src/npymath/npy_math_complex.c.src:69:26: warning: unused variable 'c_ihalf' [-Wunused-const-variable] static const npy_cdouble c_ihalf = {0.0, 0.5}; ^ numpy/core/src/npymath/npy_math_complex.c.src:79:1: warning: unused function 'cadd' [-Wunused-function] cadd(npy_cdouble a, npy_cdouble b) ^ numpy/core/src/npymath/npy_math_complex.c.src:87:1: warning: unused function 'csub' [-Wunused-function] csub(npy_cdouble a, npy_cdouble b) ^ numpy/core/src/npymath/npy_math_complex.c.src:137:1: warning: unused function 'cneg' [-Wunused-function] cneg(npy_cdouble a) ^ numpy/core/src/npymath/npy_math_complex.c.src:144:1: warning: unused function 'cmuli' [-Wunused-function] cmuli(npy_cdouble a) ^ numpy/core/src/npymath/npy_math_complex.c.src:67:30: warning: unused variable 'c_halfl' [-Wunused-const-variable] static const npy_clongdouble c_halfl = {0.5L, 0.0}; ^ numpy/core/src/npymath/npy_math_complex.c.src:68:30: warning: unused variable 'c_il' [-Wunused-const-variable] static const npy_clongdouble c_il = {0.0, 1.0L}; ^ numpy/core/src/npymath/npy_math_complex.c.src:69:30: warning: unused variable 'c_ihalfl' [-Wunused-const-variable] static const npy_clongdouble c_ihalfl = {0.0, 0.5L}; ^ numpy/core/src/npymath/npy_math_complex.c.src:79:1: warning: unused function 'caddl' [-Wunused-function] caddl(npy_clongdouble a, npy_clongdouble b) ^ numpy/core/src/npymath/npy_math_complex.c.src:87:1: warning: unused function 'csubl' [-Wunused-function] csubl(npy_clongdouble a, npy_clongdouble b) ^ numpy/core/src/npymath/npy_math_complex.c.src:137:1: warning: unused function 'cnegl' [-Wunused-function] cnegl(npy_clongdouble a) ^ numpy/core/src/npymath/npy_math_complex.c.src:144:1: warning: unused function 'cmulil' [-Wunused-function] cmulil(npy_clongdouble a) ^ 22 warnings generated. ar: adding 4 object files to build/temp.macosx-10.15-x86_64-3.9/libnpymath.a ranlib:@ build/temp.macosx-10.15-x86_64-3.9/libnpymath.a building 'npysort' library compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers creating build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npysort compile options: '-Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npysort/quicksort.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npysort/mergesort.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npysort/heapsort.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npysort/selection.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npysort/binsearch.c numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code] npy_intp k; ^~~~~~~~~~~ numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead else if (0 && kth == num - 1) { ^ /* DISABLES CODE */ ( ) 22 warnings generated. ar: adding 5 object files to build/temp.macosx-10.15-x86_64-3.9/libnpysort.a ranlib:@ build/temp.macosx-10.15-x86_64-3.9/libnpysort.a running build_ext customize UnixCCompiler customize UnixCCompiler using build_ext building 'numpy.core._dummy' extension compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' clang: numpy/core/src/dummymodule.c clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/dummymodule.o -L/usr/local/lib -L/usr/local/opt/[email protected]/lib -L/usr/local/opt/sqlite/lib -Lbuild/temp.macosx-10.15-x86_64-3.9 -o build/lib.macosx-10.15-x86_64-3.9/numpy/core/_dummy.cpython-39-darwin.so building 'numpy.core._multiarray_tests' extension compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers creating build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray creating build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/common compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/_multiarray_tests.c clang: numpy/core/src/common/mem_overlap.c clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/common/mem_overlap.o -L/usr/local/lib -L/usr/local/opt/[email protected]/lib -L/usr/local/opt/sqlite/lib -Lbuild/temp.macosx-10.15-x86_64-3.9 -lnpymath -o build/lib.macosx-10.15-x86_64-3.9/numpy/core/_multiarray_tests.cpython-39-darwin.so building 'numpy.core._multiarray_umath' extension compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers creating build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray creating build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/umath creating build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath creating build/temp.macosx-10.15-x86_64-3.9/private creating build/temp.macosx-10.15-x86_64-3.9/private/var creating build/temp.macosx-10.15-x86_64-3.9/private/var/folders creating build/temp.macosx-10.15-x86_64-3.9/private/var/folders/fz creating build/temp.macosx-10.15-x86_64-3.9/private/var/folders/fz/0j719tys48x7jlnjnwc69smr0000gn creating build/temp.macosx-10.15-x86_64-3.9/private/var/folders/fz/0j719tys48x7jlnjnwc69smr0000gn/T creating build/temp.macosx-10.15-x86_64-3.9/private/var/folders/fz/0j719tys48x7jlnjnwc69smr0000gn/T/pip-install-ufzck51l creating build/temp.macosx-10.15-x86_64-3.9/private/var/folders/fz/0j719tys48x7jlnjnwc69smr0000gn/T/pip-install-ufzck51l/numpy_b0e8a3953a1d4b46801f12bcea55536e creating build/temp.macosx-10.15-x86_64-3.9/private/var/folders/fz/0j719tys48x7jlnjnwc69smr0000gn/T/pip-install-ufzck51l/numpy_b0e8a3953a1d4b46801f12bcea55536e/numpy creating build/temp.macosx-10.15-x86_64-3.9/private/var/folders/fz/0j719tys48x7jlnjnwc69smr0000gn/T/pip-install-ufzck51l/numpy_b0e8a3953a1d4b46801f12bcea55536e/numpy/_build_utils creating build/temp.macosx-10.15-x86_64-3.9/private/var/folders/fz/0j719tys48x7jlnjnwc69smr0000gn/T/pip-install-ufzck51l/numpy_b0e8a3953a1d4b46801f12bcea55536e/numpy/_build_utils/src compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers' clang: numpy/core/src/multiarray/alloc.c clang: numpy/core/src/multiarray/calculation.cclang: numpy/core/src/multiarray/array_assign_scalar.c clang: numpy/core/src/multiarray/convert.c clang: numpy/core/src/multiarray/ctors.c clang: numpy/core/src/multiarray/datetime_busday.c clang: numpy/core/src/multiarray/dragon4.cclang: numpy/core/src/multiarray/flagsobject.c numpy/core/src/multiarray/ctors.c:2261:36: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] if (!(PyUString_Check(name) && PyUString_GET_SIZE(name) == 0)) { ^ numpy/core/include/numpy/npy_3kcompat.h:110:28: note: expanded from macro 'PyUString_GET_SIZE' #define PyUString_GET_SIZE PyUnicode_GET_SIZE ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/ctors.c:2261:36: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] if (!(PyUString_Check(name) && PyUString_GET_SIZE(name) == 0)) { ^ numpy/core/include/numpy/npy_3kcompat.h:110:28: note: expanded from macro 'PyUString_GET_SIZE' #define PyUString_GET_SIZE PyUnicode_GET_SIZE ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/ctors.c:2261:36: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] if (!(PyUString_Check(name) && PyUString_GET_SIZE(name) == 0)) { ^ numpy/core/include/numpy/npy_3kcompat.h:110:28: note: expanded from macro 'PyUString_GET_SIZE' #define PyUString_GET_SIZE PyUnicode_GET_SIZE ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ clang: numpy/core/src/multiarray/arrayobject.c clang: numpy/core/src/multiarray/array_assign_array.c clang: numpy/core/src/multiarray/convert_datatype.c clang: numpy/core/src/multiarray/getset.c clang: numpy/core/src/multiarray/datetime_busdaycal.c clang: numpy/core/src/multiarray/buffer.c clang: numpy/core/src/multiarray/compiled_base.c clang: numpy/core/src/multiarray/hashdescr.c clang: numpy/core/src/multiarray/descriptor.c numpy/core/src/multiarray/descriptor.c:453:13: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] if (PyUString_GET_SIZE(name) == 0) { ^ numpy/core/include/numpy/npy_3kcompat.h:110:28: note: expanded from macro 'PyUString_GET_SIZE' #define PyUString_GET_SIZE PyUnicode_GET_SIZE ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/descriptor.c:453:13: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] if (PyUString_GET_SIZE(name) == 0) { ^ numpy/core/include/numpy/npy_3kcompat.h:110:28: note: expanded from macro 'PyUString_GET_SIZE' #define PyUString_GET_SIZE PyUnicode_GET_SIZE ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/descriptor.c:453:13: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] if (PyUString_GET_SIZE(name) == 0) { ^ numpy/core/include/numpy/npy_3kcompat.h:110:28: note: expanded from macro 'PyUString_GET_SIZE' #define PyUString_GET_SIZE PyUnicode_GET_SIZE ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/descriptor.c:460:48: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] else if (PyUString_Check(title) && PyUString_GET_SIZE(title) > 0) { ^ numpy/core/include/numpy/npy_3kcompat.h:110:28: note: expanded from macro 'PyUString_GET_SIZE' #define PyUString_GET_SIZE PyUnicode_GET_SIZE ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/descriptor.c:460:48: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] else if (PyUString_Check(title) && PyUString_GET_SIZE(title) > 0) { ^ numpy/core/include/numpy/npy_3kcompat.h:110:28: note: expanded from macro 'PyUString_GET_SIZE' #define PyUString_GET_SIZE PyUnicode_GET_SIZE ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/descriptor.c:460:48: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] else if (PyUString_Check(title) && PyUString_GET_SIZE(title) > 0) { ^ numpy/core/include/numpy/npy_3kcompat.h:110:28: note: expanded from macro 'PyUString_GET_SIZE' #define PyUString_GET_SIZE PyUnicode_GET_SIZE ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ clang: numpy/core/src/multiarray/conversion_utils.c clang: numpy/core/src/multiarray/item_selection.c clang: numpy/core/src/multiarray/dtype_transfer.c clang: numpy/core/src/multiarray/mapping.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/arraytypes.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/nditer_templ.c 3 warnings generated. clang: numpy/core/src/multiarray/datetime.c numpy/core/src/multiarray/arraytypes.c.src:477:11: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] ptr = PyUnicode_AS_UNICODE(temp); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:279:7: note: expanded from macro 'PyUnicode_AS_UNICODE' PyUnicode_AsUnicode(_PyObject_CAST(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/arraytypes.c.src:482:15: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] datalen = PyUnicode_GET_DATA_SIZE(temp); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/arraytypes.c.src:482:15: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] datalen = PyUnicode_GET_DATA_SIZE(temp); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/arraytypes.c.src:482:15: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] datalen = PyUnicode_GET_DATA_SIZE(temp); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ clang: numpy/core/src/multiarray/common.c numpy/core/src/multiarray/common.c:187:28: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] itemsize = PyUnicode_GET_DATA_SIZE(temp); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/common.c:187:28: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] itemsize = PyUnicode_GET_DATA_SIZE(temp); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/common.c:187:28: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] itemsize = PyUnicode_GET_DATA_SIZE(temp); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/common.c:239:28: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] itemsize = PyUnicode_GET_DATA_SIZE(temp); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/common.c:239:28: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] itemsize = PyUnicode_GET_DATA_SIZE(temp); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/common.c:239:28: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] itemsize = PyUnicode_GET_DATA_SIZE(temp); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/common.c:282:24: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] int itemsize = PyUnicode_GET_DATA_SIZE(obj); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/common.c:282:24: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] int itemsize = PyUnicode_GET_DATA_SIZE(obj); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/common.c:282:24: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] int itemsize = PyUnicode_GET_DATA_SIZE(obj); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ 6 warnings generated. clang: numpy/core/src/multiarray/nditer_pywrap.c 9 warnings generated. clang: numpy/core/src/multiarray/sequence.c clang: numpy/core/src/multiarray/shape.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/einsum.c clang: numpy/core/src/multiarray/methods.c clang: numpy/core/src/multiarray/iterators.c clang: numpy/core/src/multiarray/datetime_strings.c clang: numpy/core/src/multiarray/number.c clang: numpy/core/src/multiarray/scalarapi.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/scalartypes.c numpy/core/src/multiarray/scalarapi.c:74:28: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] return (void *)PyUnicode_AS_DATA(scalar); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:283:21: note: expanded from macro 'PyUnicode_AS_DATA' ((const char *)(PyUnicode_AS_UNICODE(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:279:7: note: expanded from macro 'PyUnicode_AS_UNICODE' PyUnicode_AsUnicode(_PyObject_CAST(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalarapi.c:135:28: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] return (void *)PyUnicode_AS_DATA(scalar); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:283:21: note: expanded from macro 'PyUnicode_AS_DATA' ((const char *)(PyUnicode_AS_UNICODE(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:279:7: note: expanded from macro 'PyUnicode_AS_UNICODE' PyUnicode_AsUnicode(_PyObject_CAST(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalarapi.c:568:29: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] descr->elsize = PyUnicode_GET_DATA_SIZE(sc); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalarapi.c:568:29: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] descr->elsize = PyUnicode_GET_DATA_SIZE(sc); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalarapi.c:568:29: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] descr->elsize = PyUnicode_GET_DATA_SIZE(sc); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:475:17: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] ip = dptr = PyUnicode_AS_UNICODE(self); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:279:7: note: expanded from macro 'PyUnicode_AS_UNICODE' PyUnicode_AsUnicode(_PyObject_CAST(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:476:11: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] len = PyUnicode_GET_SIZE(self); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:476:11: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] len = PyUnicode_GET_SIZE(self); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:476:11: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] len = PyUnicode_GET_SIZE(self); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:481:11: warning: 'PyUnicode_FromUnicode' is deprecated [-Wdeprecated-declarations] new = PyUnicode_FromUnicode(ip, len); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:551:1: note: 'PyUnicode_FromUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(PyObject*) PyUnicode_FromUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:475:17: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] ip = dptr = PyUnicode_AS_UNICODE(self); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:279:7: note: expanded from macro 'PyUnicode_AS_UNICODE' PyUnicode_AsUnicode(_PyObject_CAST(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:476:11: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] len = PyUnicode_GET_SIZE(self); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:476:11: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] len = PyUnicode_GET_SIZE(self); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:476:11: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] len = PyUnicode_GET_SIZE(self); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:481:11: warning: 'PyUnicode_FromUnicode' is deprecated [-Wdeprecated-declarations] new = PyUnicode_FromUnicode(ip, len); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:551:1: note: 'PyUnicode_FromUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(PyObject*) PyUnicode_FromUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:1849:18: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] buffer = PyUnicode_AS_DATA(self); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:283:21: note: expanded from macro 'PyUnicode_AS_DATA' ((const char *)(PyUnicode_AS_UNICODE(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:279:7: note: expanded from macro 'PyUnicode_AS_UNICODE' PyUnicode_AsUnicode(_PyObject_CAST(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:1850:18: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] buflen = PyUnicode_GET_DATA_SIZE(self); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:1850:18: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] buflen = PyUnicode_GET_DATA_SIZE(self); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/scalartypes.c.src:1850:18: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] buflen = PyUnicode_GET_DATA_SIZE(self); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:268:6: note: expanded from macro 'PyUnicode_GET_DATA_SIZE' (PyUnicode_GET_SIZE(op) * Py_UNICODE_SIZE) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ 5 warnings generated. clang: numpy/core/src/multiarray/typeinfo.c clang: numpy/core/src/multiarray/refcount.c clang: numpy/core/src/multiarray/usertypes.c clang: numpy/core/src/multiarray/multiarraymodule.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/lowlevel_strided_loops.c clang: numpy/core/src/multiarray/vdot.c clang: numpy/core/src/umath/umathmodule.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/matmul.c clang: numpy/core/src/umath/reduction.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/loops.c clang: numpy/core/src/multiarray/nditer_api.c 14 warnings generated. clang: numpy/core/src/multiarray/strfuncs.c numpy/core/src/umath/loops.c.src:655:18: warning: 'PyEval_CallObjectWithKeywords' is deprecated [-Wdeprecated-declarations] result = PyEval_CallObject(tocall, arglist); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/ceval.h:24:5: note: expanded from macro 'PyEval_CallObject' PyEval_CallObjectWithKeywords(callable, arg, (PyObject *)NULL) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/ceval.h:17:1: note: 'PyEval_CallObjectWithKeywords' has been explicitly marked deprecated here Py_DEPRECATED(3.9) PyAPI_FUNC(PyObject *) PyEval_CallObjectWithKeywords( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/strfuncs.c:178:13: warning: 'PyEval_CallObjectWithKeywords' is deprecated [-Wdeprecated-declarations] s = PyEval_CallObject(PyArray_ReprFunction, arglist); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/ceval.h:24:5: note: expanded from macro 'PyEval_CallObject' PyEval_CallObjectWithKeywords(callable, arg, (PyObject *)NULL) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/ceval.h:17:1: note: 'PyEval_CallObjectWithKeywords' has been explicitly marked deprecated here Py_DEPRECATED(3.9) PyAPI_FUNC(PyObject *) PyEval_CallObjectWithKeywords( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/core/src/multiarray/strfuncs.c:195:13: warning: 'PyEval_CallObjectWithKeywords' is deprecated [-Wdeprecated-declarations] s = PyEval_CallObject(PyArray_StrFunction, arglist); ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/ceval.h:24:5: note: expanded from macro 'PyEval_CallObject' PyEval_CallObjectWithKeywords(callable, arg, (PyObject *)NULL) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/ceval.h:17:1: note: 'PyEval_CallObjectWithKeywords' has been explicitly marked deprecated here Py_DEPRECATED(3.9) PyAPI_FUNC(PyObject *) PyEval_CallObjectWithKeywords( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ 2 warnings generated. clang: numpy/core/src/multiarray/temp_elide.c clang: numpy/core/src/umath/cpuid.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/scalarmath.c clang: numpy/core/src/umath/ufunc_object.c numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'byte_long' [-Wunused-function] byte_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'ubyte_long' [-Wunused-function] ubyte_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'short_long' [-Wunused-function] short_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'ushort_long' [-Wunused-function] ushort_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'int_long' [-Wunused-function] int_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'uint_long' [-Wunused-function] uint_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'long_long' [-Wunused-function] long_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'ulong_long' [-Wunused-function] ulong_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'longlong_long' [-Wunused-function] longlong_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'ulonglong_long' [-Wunused-function] ulonglong_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'half_long' [-Wunused-function] half_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'float_long' [-Wunused-function] float_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'double_long' [-Wunused-function] double_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'longdouble_long' [-Wunused-function] longdouble_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'cfloat_long' [-Wunused-function] cfloat_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'cdouble_long' [-Wunused-function] cdouble_long(PyObject *obj) ^ numpy/core/src/umath/scalarmath.c.src:1449:1: warning: unused function 'clongdouble_long' [-Wunused-function] clongdouble_long(PyObject *obj) ^ clang: numpy/core/src/multiarray/nditer_constr.c numpy/core/src/umath/ufunc_object.c:657:19: warning: comparison of integers of different signs: 'int' and 'size_t' (aka 'unsigned long') [-Wsign-compare] for (i = 0; i < len; i++) { ~ ^ ~~~ clang: numpy/core/src/umath/override.c clang: numpy/core/src/npymath/npy_math.c clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath/ieee754.c numpy/core/src/umath/loops.c.src:2527:22: warning: code will never be executed [-Wunreachable-code] npy_intp n = dimensions[0]; ^~~~~~~~~~ numpy/core/src/umath/loops.c.src:2526:29: note: silence by adding parentheses to mark code as explicitly dead if (IS_BINARY_REDUCE && 0) { ^ /* DISABLES CODE */ ( ) numpy/core/src/umath/loops.c.src:2527:22: warning: code will never be executed [-Wunreachable-code] npy_intp n = dimensions[0]; ^~~~~~~~~~ numpy/core/src/umath/loops.c.src:2526:29: note: silence by adding parentheses to mark code as explicitly dead if (IS_BINARY_REDUCE && 0) { ^ /* DISABLES CODE */ ( ) numpy/core/src/umath/loops.c.src:2527:22: warning: code will never be executed [-Wunreachable-code] npy_intp n = dimensions[0]; ^~~~~~~~~~ numpy/core/src/umath/loops.c.src:2526:29: note: silence by adding parentheses to mark code as explicitly dead if (IS_BINARY_REDUCE && 0) { ^ /* DISABLES CODE */ ( ) clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath/npy_math_complex.c numpy/core/src/npymath/npy_math_complex.c.src:48:33: warning: unused variable 'tiny' [-Wunused-const-variable] static const volatile npy_float tiny = 3.9443045e-31f; ^ numpy/core/src/npymath/npy_math_complex.c.src:67:25: warning: unused variable 'c_halff' [-Wunused-const-variable] static const npy_cfloat c_halff = {0.5F, 0.0}; ^ numpy/core/src/npymath/npy_math_complex.c.src:68:25: warning: unused variable 'c_if' [-Wunused-const-variable] static const npy_cfloat c_if = {0.0, 1.0F}; ^ numpy/core/src/npymath/npy_math_complex.c.src:69:25: warning: unused variable 'c_ihalff' [-Wunused-const-variable] static const npy_cfloat c_ihalff = {0.0, 0.5F}; ^ numpy/core/src/npymath/npy_math_complex.c.src:79:1: warning: unused function 'caddf' [-Wunused-function] caddf(npy_cfloat a, npy_cfloat b) ^ numpy/core/src/npymath/npy_math_complex.c.src:87:1: warning: unused function 'csubf' [-Wunused-function] csubf(npy_cfloat a, npy_cfloat b) ^ numpy/core/src/npymath/npy_math_complex.c.src:137:1: warning: unused function 'cnegf' [-Wunused-function] cnegf(npy_cfloat a) ^ numpy/core/src/npymath/npy_math_complex.c.src:144:1: warning: unused function 'cmulif' [-Wunused-function] cmulif(npy_cfloat a) ^ numpy/core/src/npymath/npy_math_complex.c.src:67:26: warning: unused variable 'c_half' [-Wunused-const-variable] static const npy_cdouble c_half = {0.5, 0.0}; ^ numpy/core/src/npymath/npy_math_complex.c.src:68:26: warning: unused variable 'c_i' [-Wunused-const-variable] static const npy_cdouble c_i = {0.0, 1.0}; ^ numpy/core/src/npymath/npy_math_complex.c.src:69:26: warning: unused variable 'c_ihalf' [-Wunused-const-variable] static const npy_cdouble c_ihalf = {0.0, 0.5}; ^ numpy/core/src/npymath/npy_math_complex.c.src:79:1: warning: unused function 'cadd' [-Wunused-function] cadd(npy_cdouble a, npy_cdouble b) ^ numpy/core/src/npymath/npy_math_complex.c.src:87:1: warning: unused function 'csub' [-Wunused-function] csub(npy_cdouble a, npy_cdouble b) ^ numpy/core/src/npymath/npy_math_complex.c.src:137:1: warning: unused function 'cneg' [-Wunused-function] cneg(npy_cdouble a) ^ numpy/core/src/npymath/npy_math_complex.c.src:144:1: warning: unused function 'cmuli' [-Wunused-function] cmuli(npy_cdouble a) ^ numpy/core/src/npymath/npy_math_complex.c.src:67:30: warning: unused variable 'c_halfl' [-Wunused-const-variable] static const npy_clongdouble c_halfl = {0.5L, 0.0}; ^ numpy/core/src/npymath/npy_math_complex.c.src:68:30: warning: unused variable 'c_il' [-Wunused-const-variable] static const npy_clongdouble c_il = {0.0, 1.0L}; ^ numpy/core/src/npymath/npy_math_complex.c.src:69:30: warning: unused variable 'c_ihalfl' [-Wunused-const-variable] static const npy_clongdouble c_ihalfl = {0.0, 0.5L}; ^ numpy/core/src/npymath/npy_math_complex.c.src:79:1: warning: unused function 'caddl' [-Wunused-function] caddl(npy_clongdouble a, npy_clongdouble b) ^ numpy/core/src/npymath/npy_math_complex.c.src:87:1: warning: unused function 'csubl' [-Wunused-function] csubl(npy_clongdouble a, npy_clongdouble b) ^ numpy/core/src/npymath/npy_math_complex.c.src:137:1: warning: unused function 'cnegl' [-Wunused-function] cnegl(npy_clongdouble a) ^ numpy/core/src/npymath/npy_math_complex.c.src:144:1: warning: unused function 'cmulil' [-Wunused-function] cmulil(npy_clongdouble a) ^ 22 warnings generated. clang: numpy/core/src/common/mem_overlap.c clang: numpy/core/src/npymath/halffloat.c clang: numpy/core/src/common/array_assign.c clang: numpy/core/src/common/ufunc_override.c clang: numpy/core/src/common/npy_longdouble.c clang: numpy/core/src/common/numpyos.c clang: numpy/core/src/common/ucsnarrow.c 1 warning generated. clang: numpy/core/src/umath/extobj.c numpy/core/src/common/ucsnarrow.c:139:34: warning: 'PyUnicode_FromUnicode' is deprecated [-Wdeprecated-declarations] ret = (PyUnicodeObject *)PyUnicode_FromUnicode((Py_UNICODE*)buf, ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:551:1: note: 'PyUnicode_FromUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(PyObject*) PyUnicode_FromUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ 1 warning generated. clang: numpy/core/src/common/python_xerbla.c clang: numpy/core/src/common/cblasfuncs.c clang: /private/var/folders/fz/0j719tys48x7jlnjnwc69smr0000gn/T/pip-install-ufzck51l/numpy_b0e8a3953a1d4b46801f12bcea55536e/numpy/_build_utils/src/apple_sgemv_fix.c In file included from /private/var/folders/fz/0j719tys48x7jlnjnwc69smr0000gn/T/pip-install-ufzck51l/numpy_b0e8a3953a1d4b46801f12bcea55536e/numpy/_build_utils/src/apple_sgemv_fix.c:26: In file included from numpy/core/include/numpy/arrayobject.h:4: In file included from numpy/core/include/numpy/ndarrayobject.h:21: build/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy/__multiarray_api.h:1463:1: warning: unused function '_import_array' [-Wunused-function] _import_array(void) ^ 1 warning generated. 17 warnings generated. clang: numpy/core/src/umath/ufunc_type_resolution.c 4 warnings generated. 4 warnings generated. clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/alloc.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/arrayobject.o build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/arraytypes.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/array_assign_scalar.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/array_assign_array.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/buffer.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/calculation.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/compiled_base.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/common.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/convert.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/convert_datatype.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/conversion_utils.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/ctors.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/datetime.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/datetime_strings.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/datetime_busday.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/datetime_busdaycal.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/descriptor.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/dragon4.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/dtype_transfer.o build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/einsum.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/flagsobject.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/getset.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/hashdescr.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/item_selection.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/iterators.o build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/lowlevel_strided_loops.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/mapping.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/methods.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/multiarraymodule.o build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/nditer_templ.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/nditer_api.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/nditer_constr.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/nditer_pywrap.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/number.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/refcount.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/sequence.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/shape.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/scalarapi.o build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/scalartypes.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/strfuncs.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/temp_elide.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/typeinfo.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/usertypes.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/multiarray/vdot.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/umath/umathmodule.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/umath/reduction.o build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/loops.o build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/matmul.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/umath/ufunc_object.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/umath/extobj.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/umath/cpuid.o build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/scalarmath.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/umath/ufunc_type_resolution.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/umath/override.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/npymath/npy_math.o build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath/ieee754.o build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath/npy_math_complex.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/npymath/halffloat.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/common/array_assign.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/common/mem_overlap.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/common/npy_longdouble.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/common/ucsnarrow.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/common/ufunc_override.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/common/numpyos.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/common/cblasfuncs.o build/temp.macosx-10.15-x86_64-3.9/numpy/core/src/common/python_xerbla.o build/temp.macosx-10.15-x86_64-3.9/private/var/folders/fz/0j719tys48x7jlnjnwc69smr0000gn/T/pip-install-ufzck51l/numpy_b0e8a3953a1d4b46801f12bcea55536e/numpy/_build_utils/src/apple_sgemv_fix.o -L/usr/local/lib -L/usr/local/opt/[email protected]/lib -L/usr/local/opt/sqlite/lib -Lbuild/temp.macosx-10.15-x86_64-3.9 -lnpymath -lnpysort -o build/lib.macosx-10.15-x86_64-3.9/numpy/core/_multiarray_umath.cpython-39-darwin.so -Wl,-framework -Wl,Accelerate building 'numpy.core._umath_tests' extension compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/_umath_tests.c clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/_umath_tests.o -L/usr/local/lib -L/usr/local/opt/[email protected]/lib -L/usr/local/opt/sqlite/lib -Lbuild/temp.macosx-10.15-x86_64-3.9 -o build/lib.macosx-10.15-x86_64-3.9/numpy/core/_umath_tests.cpython-39-darwin.so building 'numpy.core._rational_tests' extension compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/_rational_tests.c clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/_rational_tests.o -L/usr/local/lib -L/usr/local/opt/[email protected]/lib -L/usr/local/opt/sqlite/lib -Lbuild/temp.macosx-10.15-x86_64-3.9 -o build/lib.macosx-10.15-x86_64-3.9/numpy/core/_rational_tests.cpython-39-darwin.so building 'numpy.core._struct_ufunc_tests' extension compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/_struct_ufunc_tests.c clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/_struct_ufunc_tests.o -L/usr/local/lib -L/usr/local/opt/[email protected]/lib -L/usr/local/opt/sqlite/lib -Lbuild/temp.macosx-10.15-x86_64-3.9 -o build/lib.macosx-10.15-x86_64-3.9/numpy/core/_struct_ufunc_tests.cpython-39-darwin.so building 'numpy.core._operand_flag_tests' extension compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' clang: build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/_operand_flag_tests.c clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/core/src/umath/_operand_flag_tests.o -L/usr/local/lib -L/usr/local/opt/[email protected]/lib -L/usr/local/opt/sqlite/lib -Lbuild/temp.macosx-10.15-x86_64-3.9 -o build/lib.macosx-10.15-x86_64-3.9/numpy/core/_operand_flag_tests.cpython-39-darwin.so building 'numpy.fft.fftpack_lite' extension compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers creating build/temp.macosx-10.15-x86_64-3.9/numpy/fft compile options: '-Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' clang: numpy/fft/fftpack_litemodule.c clang: numpy/fft/fftpack.c clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk build/temp.macosx-10.15-x86_64-3.9/numpy/fft/fftpack_litemodule.o build/temp.macosx-10.15-x86_64-3.9/numpy/fft/fftpack.o -L/usr/local/lib -L/usr/local/opt/[email protected]/lib -L/usr/local/opt/sqlite/lib -Lbuild/temp.macosx-10.15-x86_64-3.9 -o build/lib.macosx-10.15-x86_64-3.9/numpy/fft/fftpack_lite.cpython-39-darwin.so building 'numpy.linalg.lapack_lite' extension compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers creating build/temp.macosx-10.15-x86_64-3.9/numpy/linalg creating build/temp.macosx-10.15-x86_64-3.9/numpy/linalg/lapack_lite compile options: '-DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers' clang: numpy/linalg/lapack_litemodule.c clang: numpy/linalg/lapack_lite/python_xerbla.c clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk build/temp.macosx-10.15-x86_64-3.9/numpy/linalg/lapack_litemodule.o build/temp.macosx-10.15-x86_64-3.9/numpy/linalg/lapack_lite/python_xerbla.o -L/usr/local/lib -L/usr/local/opt/[email protected]/lib -L/usr/local/opt/sqlite/lib -Lbuild/temp.macosx-10.15-x86_64-3.9 -o build/lib.macosx-10.15-x86_64-3.9/numpy/linalg/lapack_lite.cpython-39-darwin.so -Wl,-framework -Wl,Accelerate building 'numpy.linalg._umath_linalg' extension compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers creating build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/linalg compile options: '-DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' extra options: '-msse3 -I/System/Library/Frameworks/vecLib.framework/Headers' clang: build/src.macosx-10.15-x86_64-3.9/numpy/linalg/umath_linalg.c numpy/linalg/umath_linalg.c.src:735:32: warning: unknown warning group '-Wmaybe-uninitialized', ignored [-Wunknown-warning-option] #pragma GCC diagnostic ignored "-Wmaybe-uninitialized" ^ numpy/linalg/umath_linalg.c.src:541:1: warning: unused function 'dump_ufunc_object' [-Wunused-function] dump_ufunc_object(PyUFuncObject* ufunc) ^ numpy/linalg/umath_linalg.c.src:566:1: warning: unused function 'dump_linearize_data' [-Wunused-function] dump_linearize_data(const char* name, const LINEARIZE_DATA_t* params) ^ numpy/linalg/umath_linalg.c.src:602:1: warning: unused function 'dump_FLOAT_matrix' [-Wunused-function] dump_FLOAT_matrix(const char* name, ^ numpy/linalg/umath_linalg.c.src:602:1: warning: unused function 'dump_DOUBLE_matrix' [-Wunused-function] dump_DOUBLE_matrix(const char* name, ^ numpy/linalg/umath_linalg.c.src:602:1: warning: unused function 'dump_CFLOAT_matrix' [-Wunused-function] dump_CFLOAT_matrix(const char* name, ^ numpy/linalg/umath_linalg.c.src:602:1: warning: unused function 'dump_CDOUBLE_matrix' [-Wunused-function] dump_CDOUBLE_matrix(const char* name, ^ numpy/linalg/umath_linalg.c.src:865:1: warning: unused function 'zero_FLOAT_matrix' [-Wunused-function] zero_FLOAT_matrix(void *dst_in, const LINEARIZE_DATA_t* data) ^ numpy/linalg/umath_linalg.c.src:865:1: warning: unused function 'zero_DOUBLE_matrix' [-Wunused-function] zero_DOUBLE_matrix(void *dst_in, const LINEARIZE_DATA_t* data) ^ numpy/linalg/umath_linalg.c.src:865:1: warning: unused function 'zero_CFLOAT_matrix' [-Wunused-function] zero_CFLOAT_matrix(void *dst_in, const LINEARIZE_DATA_t* data) ^ numpy/linalg/umath_linalg.c.src:865:1: warning: unused function 'zero_CDOUBLE_matrix' [-Wunused-function] zero_CDOUBLE_matrix(void *dst_in, const LINEARIZE_DATA_t* data) ^ numpy/linalg/umath_linalg.c.src:1862:1: warning: unused function 'dump_geev_params' [-Wunused-function] dump_geev_params(const char *name, GEEV_PARAMS_t* params) ^ numpy/linalg/umath_linalg.c.src:2132:1: warning: unused function 'init_cgeev' [-Wunused-function] init_cgeev(GEEV_PARAMS_t* params, ^ numpy/linalg/umath_linalg.c.src:2213:1: warning: unused function 'process_cgeev_results' [-Wunused-function] process_cgeev_results(GEEV_PARAMS_t *NPY_UNUSED(params)) ^ numpy/linalg/umath_linalg.c.src:2376:1: warning: unused function 'dump_gesdd_params' [-Wunused-function] dump_gesdd_params(const char *name, ^ numpy/linalg/umath_linalg.c.src:2864:1: warning: unused function 'dump_gelsd_params' [-Wunused-function] dump_gelsd_params(const char *name, ^ 16 warnings generated. clang -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk build/temp.macosx-10.15-x86_64-3.9/build/src.macosx-10.15-x86_64-3.9/numpy/linalg/umath_linalg.o build/temp.macosx-10.15-x86_64-3.9/numpy/linalg/lapack_lite/python_xerbla.o -L/usr/local/lib -L/usr/local/opt/[email protected]/lib -L/usr/local/opt/sqlite/lib -Lbuild/temp.macosx-10.15-x86_64-3.9 -lnpymath -o build/lib.macosx-10.15-x86_64-3.9/numpy/linalg/_umath_linalg.cpython-39-darwin.so -Wl,-framework -Wl,Accelerate building 'numpy.random.mtrand' extension compiling C sources C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers creating build/temp.macosx-10.15-x86_64-3.9/numpy/random creating build/temp.macosx-10.15-x86_64-3.9/numpy/random/mtrand compile options: '-D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c' clang: numpy/random/mtrand/mtrand.c clang: numpy/random/mtrand/initarray.cclang: numpy/random/mtrand/randomkit.c clang: numpy/random/mtrand/distributions.c numpy/random/mtrand/mtrand.c:40400:34: error: no member named 'tp_print' in 'struct _typeobject' __pyx_type_6mtrand_RandomState.tp_print = 0; ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ^ numpy/random/mtrand/mtrand.c:42673:22: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/random/mtrand/mtrand.c:42673:22: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/random/mtrand/mtrand.c:42673:22: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/random/mtrand/mtrand.c:42673:52: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/random/mtrand/mtrand.c:42673:52: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/random/mtrand/mtrand.c:42673:52: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 : ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/random/mtrand/mtrand.c:42689:26: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/random/mtrand/mtrand.c:42689:26: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/random/mtrand/mtrand.c:42689:26: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/random/mtrand/mtrand.c:42689:59: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:261:7: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op) : \ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/random/mtrand/mtrand.c:42689:59: warning: 'PyUnicode_AsUnicode' is deprecated [-Wdeprecated-declarations] (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:262:14: note: expanded from macro 'PyUnicode_GET_SIZE' ((void)PyUnicode_AsUnicode(_PyObject_CAST(op)),\ ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:580:1: note: 'PyUnicode_AsUnicode' has been explicitly marked deprecated here Py_DEPRECATED(3.3) PyAPI_FUNC(Py_UNICODE *) PyUnicode_AsUnicode( ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ numpy/random/mtrand/mtrand.c:42689:59: warning: '_PyUnicode_get_wstr_length' is deprecated [-Wdeprecated-declarations] (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 : ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:264:8: note: expanded from macro 'PyUnicode_GET_SIZE' PyUnicode_WSTR_LENGTH(op))) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:451:35: note: expanded from macro 'PyUnicode_WSTR_LENGTH' #define PyUnicode_WSTR_LENGTH(op) _PyUnicode_get_wstr_length((PyObject*)op) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/cpython/unicodeobject.h:445:1: note: '_PyUnicode_get_wstr_length' has been explicitly marked deprecated here Py_DEPRECATED(3.3) ^ /usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9/pyport.h:508:54: note: expanded from macro 'Py_DEPRECATED' #define Py_DEPRECATED(VERSION_UNUSED) __attribute__((__deprecated__)) ^ 12 warnings and 1 error generated. error: Command "clang -Wno-unused-result -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -fwrapv -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX10.15.sdk/System/Library/Frameworks/Tk.framework/Versions/8.5/Headers -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/usr/local/include -I/usr/local/opt/[email protected]/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/[email protected]/3.9.0_1/Frameworks/Python.framework/Versions/3.9/include/python3.9 -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/common -Ibuild/src.macosx-10.15-x86_64-3.9/numpy/core/src/npymath -c numpy/random/mtrand/mtrand.c -o build/temp.macosx-10.15-x86_64-3.9/numpy/random/mtrand/mtrand.o -MMD -MF build/temp.macosx-10.15-x86_64-3.9/numpy/random/mtrand/mtrand.o.d" failed with exit status 1
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2021-01-07T14:43:45Z
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https://github.com/huggingface/datasets/pull/1695
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fix ner_tag bugs in thainer
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2021-01-07T02:12:33Z
https://api.github.com/repos/huggingface/datasets/issues/1695/comments
fix bug that results in `ner_tag` always equal to 'O'.
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Add OSCAR
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2021-01-06T10:21:08Z
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Continuation of #348 The files have been moved to S3 and only the unshuffled version is available. Both original and deduplicated versions of each language are available. Example of usage: ```python from datasets import load_dataset oscar_dedup_en = load_dataset("oscar", "unshuffled_deduplicated_en", split="train") oscar_orig_fr = load_dataset("oscar", "unshuffled_original_fr", split="train") ``` cc @pjox @jonatasgrosman ------------- To make the metadata generation work in parallel I did a few changes in the `datasets-cli test` command to add the `num_proc` and `proc_rank` arguments. This way you can run multiple processes for the metadata computation. ``` datasets-cli test ./datasets/oscar --save_infos --all_configs --num_proc 4 --proc_rank 0 --clear_cache --cache_dir tmp0 ``` ------------- ToDo: add the dummy_data
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Fix reuters metadata parsing errors
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2021-01-06T08:26:03Z
https://api.github.com/repos/huggingface/datasets/issues/1693/comments
Was missing the last entry in each metadata category
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Updated HuggingFace Datasets README (fix typos)
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2021-01-06T02:14:38Z
https://api.github.com/repos/huggingface/datasets/issues/1691/comments
Awesome work on 🤗 Datasets. I found a couple of small typos in the README. Hope this helps. ![](https://emojipedia-us.s3.dualstack.us-west-1.amazonaws.com/thumbs/160/google/56/hugging-face_1f917.png)
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Fast start up
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2021-01-05T19:07:53Z
https://api.github.com/repos/huggingface/datasets/issues/1690/comments
Currently if optional dependencies such as tensorflow, torch, apache_beam, faiss and elasticsearch are installed, then it takes a long time to do `import datasets` since it imports all of these heavy dependencies. To make a fast start up for `datasets` I changed that so that they are not imported when `datasets` is being imported. On my side it changed the import time of `datasets` from 5sec to 0.5sec, which is enjoyable. To be able to check if optional dependencies are available without importing them I'm using `importlib_metadata`, which is part of the standard lib in python>=3.8 and was backported. The difference with `importlib` is that it also enables to get the versions of the libraries without importing them. I added this dependency in `setup.py`.
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Fix ade_corpus_v2 config names
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2021-01-05T14:33:28Z
https://api.github.com/repos/huggingface/datasets/issues/1689/comments
There are currently some typos in the config names of the `ade_corpus_v2` dataset, I fixed them: - Ade_corpos_v2_classificaion -> Ade_corpus_v2_classification - Ade_corpos_v2_drug_ade_relation -> Ade_corpus_v2_drug_ade_relation - Ade_corpos_v2_drug_dosage_relation -> Ade_corpus_v2_drug_dosage_relation
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Fix DaNE last example
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2021-01-05T13:29:37Z
https://api.github.com/repos/huggingface/datasets/issues/1688/comments
The last example from the DaNE dataset is empty. Fix #1686
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Question: Shouldn't .info be a part of DatasetDict?
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2021-01-05T13:08:41Z
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Currently, only `Dataset` contains the .info or .features, but as many datasets contains standard splits (train, test) and thus the underlying information is the same (or at least should be) across the datasets. For instance: ``` >>> ds = datasets.load_dataset("conll2002", "es") >>> ds.info Traceback (most recent call last): File "<stdin>", line 1, in <module> AttributeError: 'DatasetDict' object has no attribute 'info' ``` I could imagine that this wouldn't work for datasets dicts which hold entirely different datasets (multimodal datasets), but it seems odd that splits of the same dataset is treated the same as what is essentially different datasets. Intuitively it would also make sense that if a dataset is supplied via. the load_dataset that is have a common .info which covers the entire dataset. It is entirely possible that I am missing another perspective
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Dataset Error: DaNE contains empty samples at the end
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2021-01-05T11:54:26Z
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The dataset DaNE, contains empty samples at the end. It is naturally easy to remove using a filter but should probably not be there, to begin with as it can cause errors. ```python >>> import datasets [...] >>> dataset = datasets.load_dataset("dane") [...] >>> dataset["test"][-1] {'dep_ids': [], 'dep_labels': [], 'lemmas': [], 'morph_tags': [], 'ner_tags': [], 'pos_tags': [], 'sent_id': '', 'text': '', 'tok_ids': [], 'tokens': []} >>> dataset["train"][-1] {'dep_ids': [], 'dep_labels': [], 'lemmas': [], 'morph_tags': [], 'ner_tags': [], 'pos_tags': [], 'sent_id': '', 'text': '', 'tok_ids': [], 'tokens': []} ``` Best, Kenneth
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Update README.md of covid-tweets-japanese
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2021-01-05T11:47:27Z
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Update README.md of covid-tweets-japanese added by PR https://github.com/huggingface/datasets/pull/1367 and https://github.com/huggingface/datasets/pull/1402. - Update "Data Splits" to be more precise that no information is provided for now. - old: [More Information Needed] - new: No information about data splits is provided for now. - The automatic generation of links seemed not working properly, so I added a space before and after the URL to make the links work correctly.
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Add CANER Corpus
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2021-01-04T20:49:11Z
https://api.github.com/repos/huggingface/datasets/issues/1684/comments
What does this PR do? Adds the following dataset: https://github.com/RamziSalah/Classical-Arabic-Named-Entity-Recognition-Corpus Who can review? @lhoestq
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`ArrowInvalid` occurs while running `Dataset.map()` function for DPRContext
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2021-01-04T18:47:53Z
https://api.github.com/repos/huggingface/datasets/issues/1683/comments
It seems to fail the final batch ): steps to reproduce: ``` from datasets import load_dataset from elasticsearch import Elasticsearch import torch from transformers import file_utils, set_seed from transformers import DPRContextEncoder, DPRContextEncoderTokenizerFast MAX_SEQ_LENGTH = 256 ctx_encoder = DPRContextEncoder.from_pretrained("facebook/dpr-ctx_encoder-single-nq-base", cache_dir="../datasets/") ctx_tokenizer = DPRContextEncoderTokenizerFast.from_pretrained( "facebook/dpr-ctx_encoder-single-nq-base", cache_dir="..datasets/" ) dataset = load_dataset('text', data_files='data/raw/ARC_Corpus.txt', cache_dir='../datasets') torch.set_grad_enabled(False) ds_with_embeddings = dataset.map( lambda example: { 'embeddings': ctx_encoder( **ctx_tokenizer( example["text"], padding='max_length', truncation=True, max_length=MAX_SEQ_LENGTH, return_tensors="pt" ) )[0][0].numpy(), }, batched=True, load_from_cache_file=False, batch_size=1000 ) ``` ARC Corpus can be obtained from [here](https://ai2-datasets.s3-us-west-2.amazonaws.com/arc/ARC-V1-Feb2018.zip) And then the error: ``` --------------------------------------------------------------------------- ArrowInvalid Traceback (most recent call last) <ipython-input-13-67d139bb2ed3> in <module> 14 batched=True, 15 load_from_cache_file=False, ---> 16 batch_size=1000 17 ) ~/.cache/pypoetry/virtualenvs/masters-utTTC0p8-py3.7/lib/python3.7/site-packages/datasets/dataset_dict.py in map(self, function, with_indices, input_columns, batched, batch_size, remove_columns, keep_in_memory, load_from_cache_file, cache_file_names, writer_batch_size, features, disable_nullable, fn_kwargs, num_proc) 301 num_proc=num_proc, 302 ) --> 303 for k, dataset in self.items() 304 } 305 ) ~/.cache/pypoetry/virtualenvs/masters-utTTC0p8-py3.7/lib/python3.7/site-packages/datasets/dataset_dict.py in <dictcomp>(.0) 301 num_proc=num_proc, 302 ) --> 303 for k, dataset in self.items() 304 } 305 ) ~/.cache/pypoetry/virtualenvs/masters-utTTC0p8-py3.7/lib/python3.7/site-packages/datasets/arrow_dataset.py in map(self, function, with_indices, input_columns, batched, batch_size, drop_last_batch, remove_columns, keep_in_memory, load_from_cache_file, cache_file_name, writer_batch_size, features, disable_nullable, fn_kwargs, num_proc, suffix_template, new_fingerprint) 1257 fn_kwargs=fn_kwargs, 1258 new_fingerprint=new_fingerprint, -> 1259 update_data=update_data, 1260 ) 1261 else: ~/.cache/pypoetry/virtualenvs/masters-utTTC0p8-py3.7/lib/python3.7/site-packages/datasets/arrow_dataset.py in wrapper(*args, **kwargs) 155 } 156 # apply actual function --> 157 out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs) 158 datasets: List["Dataset"] = list(out.values()) if isinstance(out, dict) else [out] 159 # re-apply format to the output ~/.cache/pypoetry/virtualenvs/masters-utTTC0p8-py3.7/lib/python3.7/site-packages/datasets/fingerprint.py in wrapper(*args, **kwargs) 161 # Call actual function 162 --> 163 out = func(self, *args, **kwargs) 164 165 # Update fingerprint of in-place transforms + update in-place history of transforms ~/.cache/pypoetry/virtualenvs/masters-utTTC0p8-py3.7/lib/python3.7/site-packages/datasets/arrow_dataset.py in _map_single(self, function, with_indices, input_columns, batched, batch_size, drop_last_batch, remove_columns, keep_in_memory, load_from_cache_file, cache_file_name, writer_batch_size, features, disable_nullable, fn_kwargs, new_fingerprint, rank, offset, update_data) 1526 if update_data: 1527 batch = cast_to_python_objects(batch) -> 1528 writer.write_batch(batch) 1529 if update_data: 1530 writer.finalize() # close_stream=bool(buf_writer is None)) # We only close if we are writing in a file ~/.cache/pypoetry/virtualenvs/masters-utTTC0p8-py3.7/lib/python3.7/site-packages/datasets/arrow_writer.py in write_batch(self, batch_examples, writer_batch_size) 276 typed_sequence = TypedSequence(batch_examples[col], type=col_type, try_type=col_try_type) 277 typed_sequence_examples[col] = typed_sequence --> 278 pa_table = pa.Table.from_pydict(typed_sequence_examples) 279 self.write_table(pa_table) 280 ~/.cache/pypoetry/virtualenvs/masters-utTTC0p8-py3.7/lib/python3.7/site-packages/pyarrow/table.pxi in pyarrow.lib.Table.from_pydict() ~/.cache/pypoetry/virtualenvs/masters-utTTC0p8-py3.7/lib/python3.7/site-packages/pyarrow/table.pxi in pyarrow.lib.Table.from_arrays() ~/.cache/pypoetry/virtualenvs/masters-utTTC0p8-py3.7/lib/python3.7/site-packages/pyarrow/table.pxi in pyarrow.lib.Table.validate() ~/.cache/pypoetry/virtualenvs/masters-utTTC0p8-py3.7/lib/python3.7/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status() ArrowInvalid: Column 1 named text expected length 768 but got length 1000 ```
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https://github.com/huggingface/datasets/pull/1682
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Don't use xlrd for xlsx files
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2021-01-04T18:11:50Z
https://api.github.com/repos/huggingface/datasets/issues/1682/comments
Since the latest release of `xlrd` (2.0), the support for xlsx files stopped. Therefore we needed to use something else. A good alternative is `openpyxl` which has also an integration with pandas si we can still call `pd.read_excel`. I left the unused import of `openpyxl` in the dataset scripts to show users that this is a required dependency to use the scripts. I tested the different datasets using `datasets-cli test` and the tests are successful (no missing examples).
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Dataset "dane" missing
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2021-01-03T14:03:03Z
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the `dane` dataset appear to be missing in the latest version (1.1.3). ```python >>> import datasets >>> datasets.__version__ '1.1.3' >>> "dane" in datasets.list_datasets() True ``` As we can see it should be present, but doesn't seem to be findable when using `load_dataset`. ```python >>> datasets.load_dataset("dane") Traceback (most recent call last): File "/home/kenneth/.Envs/EDP/lib/python3.8/site-packages/datasets/load.py", line 267, in prepare_module local_path = cached_path(file_path, download_config=download_config) File "/home/kenneth/.Envs/EDP/lib/python3.8/site-packages/datasets/utils/file_utils.py", line 300, in cached_path output_path = get_from_cache( File "/home/kenneth/.Envs/EDP/lib/python3.8/site-packages/datasets/utils/file_utils.py", line 486, in get_from_cache raise FileNotFoundError("Couldn't find file at {}".format(url)) FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/dane/dane.py During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/kenneth/.Envs/EDP/lib/python3.8/site-packages/datasets/load.py", line 278, in prepare_module local_path = cached_path(file_path, download_config=download_config) File "/home/kenneth/.Envs/EDP/lib/python3.8/site-packages/datasets/utils/file_utils.py", line 300, in cached_path output_path = get_from_cache( File "/home/kenneth/.Envs/EDP/lib/python3.8/site-packages/datasets/utils/file_utils.py", line 486, in get_from_cache raise FileNotFoundError("Couldn't find file at {}".format(url)) FileNotFoundError: Couldn't find file at https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/dane/dane.py During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/kenneth/.Envs/EDP/lib/python3.8/site-packages/datasets/load.py", line 588, in load_dataset module_path, hash = prepare_module( File "/home/kenneth/.Envs/EDP/lib/python3.8/site-packages/datasets/load.py", line 280, in prepare_module raise FileNotFoundError( FileNotFoundError: Couldn't find file locally at dane/dane.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/dane/dane.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/dane/dane.py ``` This issue might be relevant to @ophelielacroix from the Alexandra Institut whom created the data.
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added TurkishProductReviews dataset
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2021-01-03T11:52:59Z
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This PR added **Turkish Product Reviews Dataset contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews**. - **Repository:** [turkish-text-data](https://github.com/fthbrmnby/turkish-text-data) - **Point of Contact:** Fatih Barmanbay - @fthbrmnby
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