url
stringlengths 58
61
| repository_url
stringclasses 1
value | labels_url
stringlengths 72
75
| comments_url
stringlengths 67
70
| events_url
stringlengths 65
68
| html_url
stringlengths 46
51
| id
int64 599M
1.07B
| node_id
stringlengths 18
32
| number
int64 1
3.39k
| title
stringlengths 1
276
| user
dict | labels
list | state
stringclasses 1
value | locked
bool 1
class | assignee
dict | assignees
list | milestone
dict | comments
sequence | created_at
int64 1,587B
1,639B
| updated_at
int64 1,587B
1,639B
| closed_at
int64 1,587B
1,639B
| author_association
stringclasses 3
values | active_lock_reason
null | body
stringlengths 0
228k
⌀ | reactions
dict | timeline_url
stringlengths 67
70
| performed_via_github_app
null | draft
bool 2
classes | pull_request
dict | is_pull_request
bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://api.github.com/repos/huggingface/datasets/issues/1803 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1803/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1803/comments | https://api.github.com/repos/huggingface/datasets/issues/1803/events | https://github.com/huggingface/datasets/issues/1803 | 798,243,904 | MDU6SXNzdWU3OTgyNDM5MDQ= | 1,803 | Querying examples from big datasets is slower than small datasets | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hello, @lhoestq / @gaceladri : We have been seeing similar behavior with bigger datasets, where querying time increases. Are you folks aware of any solution that fixes this problem yet? ",
"Hi ! I'm pretty sure that it can be fixed by using the Arrow IPC file format instead of the raw streaming format but I haven't tested yet.\r\nI'll take a look at it soon and let you know",
"My workaround is to shard the dataset into splits in my ssd disk and feed the data in different training sessions. But it is a bit of a pain when we need to reload the last training session with the rest of the split with the Trainer in transformers.\r\n\r\nI mean, when I split the training and then reloads the model and optimizer, it not gets the correct global_status of the optimizer, so I need to hardcode some things. I'm planning to open an issue in transformers and think about it.\r\n```\r\nfrom datasets import load_dataset\r\n\r\nbook_corpus = load_dataset(\"bookcorpus\", split=\"train[:25%]\")\r\nwikicorpus = load_dataset(\"wikicorpus\", split=\"train[:25%]\")\r\nopenwebtext = load_dataset(\"openwebtext\", split=\"train[:25%]\")\r\n\r\nbig_dataset = datasets.concatenate_datasets([wikicorpus, openwebtext, book_corpus])\r\nbig_dataset.shuffle(seed=42)\r\nbig_dataset = big_dataset.map(encode, batched=True, num_proc=20, load_from_cache_file=True, writer_batch_size=5000)\r\nbig_dataset.set_format(type='torch', columns=[\"text\", \"input_ids\", \"attention_mask\", \"token_type_ids\"])\r\n\r\n\r\ntraining_args = TrainingArguments(\r\n output_dir=\"./linear_bert\",\r\n overwrite_output_dir=True,\r\n per_device_train_batch_size=71,\r\n save_steps=500,\r\n save_total_limit=10,\r\n logging_first_step=True,\r\n logging_steps=100,\r\n gradient_accumulation_steps=9,\r\n fp16=True,\r\n dataloader_num_workers=20,\r\n warmup_steps=24000,\r\n learning_rate=0.000545205002870214,\r\n adam_epsilon=1e-6,\r\n adam_beta2=0.98,\r\n weight_decay=0.01,\r\n max_steps=138974, # the total number of steps after concatenating 100% datasets\r\n max_grad_norm=1.0,\r\n)\r\n\r\ntrainer = Trainer(\r\n model=model,\r\n args=training_args,\r\n data_collator=data_collator,\r\n train_dataset=big_dataset,\r\n tokenizer=tokenizer))\r\n```\r\n\r\nI do one training pass with the total steps of this shard and I use len(bbig)/batchsize to stop the training (hardcoded in the trainer.py) when I pass over all the examples in this split.\r\n\r\nNow Im working, I will edit the comment with a more elaborated answer when I left the work.",
"I just tested and using the Arrow File format doesn't improve the speed... This will need further investigation.\r\n\r\nMy guess is that it has to iterate over the record batches or chunks of a ChunkedArray in order to retrieve elements.\r\n\r\nHowever if we know in advance in which chunk the element is, and at what index it is, then we can access it instantaneously. But this requires dealing with the chunked arrays instead of the pyarrow Table directly which is not practical.",
"I have a dataset with about 2.7 million rows (which I'm loading via `load_from_disk`), and I need to fetch around 300k (particular) rows of it, by index. Currently this is taking a really long time (~8 hours). I tried sharding the large dataset but overall it doesn't change how long it takes to fetch the desired rows.\r\n\r\nI actually have enough RAM that I could fit the large dataset in memory. Would having the large dataset in memory speed up querying? To find out, I tried to load (a column of) the large dataset into memory like this:\r\n```\r\ncolumn_data = large_ds['column_name']\r\n```\r\nbut in itself this takes a really long time.\r\n\r\nI'm pretty stuck - do you have any ideas what I should do? ",
"Hi ! Feel free to post a message on the [forum](https://discuss.huggingface.co/c/datasets/10). I'd be happy to help you with this.\r\n\r\nIn your post on the forum, feel free to add more details about your setup:\r\nWhat are column names and types of your dataset ?\r\nHow was the dataset constructed ?\r\nIs the dataset shuffled ?\r\nIs the dataset tokenized ?\r\nAre you on a SSD or an HDD ?\r\n\r\nI'm sure we can figure something out.\r\nFor example on my laptop I can access the 6 millions articles from wikipedia in less than a minute.",
"Thanks @lhoestq, I've [posted on the forum](https://discuss.huggingface.co/t/fetching-rows-of-a-large-dataset-by-index/4271?u=abisee).",
"Fixed by #2122."
] | 1,612,177,703,000 | 1,628,100,661,000 | 1,628,100,642,000 | MEMBER | null | After some experiments with bookcorpus I noticed that querying examples from big datasets is slower than small datasets.
For example
```python
from datasets import load_dataset
b1 = load_dataset("bookcorpus", split="train[:1%]")
b50 = load_dataset("bookcorpus", split="train[:50%]")
b100 = load_dataset("bookcorpus", split="train[:100%]")
%timeit _ = b1[-1]
# 12.2 µs ± 70.4 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)
%timeit _ = b50[-1]
# 92.5 µs ± 1.24 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)
%timeit _ = b100[-1]
# 177 µs ± 3.13 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)
```
It looks like the time to fetch the example increases with the size of the dataset.
This is maybe due to the use of the Arrow streaming format to store the data on disk. I guess pyarrow needs to iterate through the file as a stream to find the queried sample.
Maybe switching to the Arrow IPC file format could help fixing this issue.
Indeed according to the [documentation](https://arrow.apache.org/docs/format/Columnar.html?highlight=arrow1#ipc-file-format), it's identical to the streaming format except that it contains the memory offsets of each sample, which could fix the issue:
> We define a “file format” supporting random access that is build with the stream format. The file starts and ends with a magic string ARROW1 (plus padding). What follows in the file is identical to the stream format. At the end of the file, we write a footer containing a redundant copy of the schema (which is a part of the streaming format) plus memory offsets and sizes for each of the data blocks in the file. This enables random access any record batch in the file. See File.fbs for the precise details of the file footer.
cc @gaceladri since it can help speed up your training when this one is fixed. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1803/reactions",
"total_count": 3,
"+1": 3,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1803/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1802 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1802/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1802/comments | https://api.github.com/repos/huggingface/datasets/issues/1802/events | https://github.com/huggingface/datasets/pull/1802 | 797,924,468 | MDExOlB1bGxSZXF1ZXN0NTY0ODE4NDIy | 1,802 | add github of contributors | {
"login": "vasudevgupta7",
"id": 53136577,
"node_id": "MDQ6VXNlcjUzMTM2NTc3",
"avatar_url": "https://avatars.githubusercontent.com/u/53136577?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/vasudevgupta7",
"html_url": "https://github.com/vasudevgupta7",
"followers_url": "https://api.github.com/users/vasudevgupta7/followers",
"following_url": "https://api.github.com/users/vasudevgupta7/following{/other_user}",
"gists_url": "https://api.github.com/users/vasudevgupta7/gists{/gist_id}",
"starred_url": "https://api.github.com/users/vasudevgupta7/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/vasudevgupta7/subscriptions",
"organizations_url": "https://api.github.com/users/vasudevgupta7/orgs",
"repos_url": "https://api.github.com/users/vasudevgupta7/repos",
"events_url": "https://api.github.com/users/vasudevgupta7/events{/privacy}",
"received_events_url": "https://api.github.com/users/vasudevgupta7/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"@lhoestq Can you confirm if this format is fine? I will update cards based on your feedback.",
"On HuggingFace side we also have a mapping of hf user => github user (GitHub info used to be required when signing up until not long ago – cc @gary149 @beurkinger) so we can also add a link to HF profile",
"All the dataset cards have been updated with GitHub ids :)"
] | 1,612,151,359,000 | 1,612,346,992,000 | 1,612,346,790,000 | CONTRIBUTOR | null | This PR will add contributors GitHub id at the end of every dataset cards. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1802/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1802/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1802",
"html_url": "https://github.com/huggingface/datasets/pull/1802",
"diff_url": "https://github.com/huggingface/datasets/pull/1802.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1802.patch",
"merged_at": 1612346790000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1801 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1801/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1801/comments | https://api.github.com/repos/huggingface/datasets/issues/1801/events | https://github.com/huggingface/datasets/pull/1801 | 797,814,275 | MDExOlB1bGxSZXF1ZXN0NTY0NzMwODYw | 1,801 | [GEM] Updated the source link of the data to update correct tokenized version. | {
"login": "mounicam",
"id": 11708999,
"node_id": "MDQ6VXNlcjExNzA4OTk5",
"avatar_url": "https://avatars.githubusercontent.com/u/11708999?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mounicam",
"html_url": "https://github.com/mounicam",
"followers_url": "https://api.github.com/users/mounicam/followers",
"following_url": "https://api.github.com/users/mounicam/following{/other_user}",
"gists_url": "https://api.github.com/users/mounicam/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mounicam/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mounicam/subscriptions",
"organizations_url": "https://api.github.com/users/mounicam/orgs",
"repos_url": "https://api.github.com/users/mounicam/repos",
"events_url": "https://api.github.com/users/mounicam/events{/privacy}",
"received_events_url": "https://api.github.com/users/mounicam/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"@mounicam we'll keep the original version in the Turk dataset proper, and use the updated file in the GEM aggregated dataset which I'll add later today\r\n\r\n@lhoestq do not merge, I'll close when I've submitted the GEM dataset PR :) ",
"Closed by https://github.com/huggingface/datasets/pull/1807"
] | 1,612,127,839,000 | 1,612,271,858,000 | 1,612,271,848,000 | CONTRIBUTOR | null | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1801/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1801/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1801",
"html_url": "https://github.com/huggingface/datasets/pull/1801",
"diff_url": "https://github.com/huggingface/datasets/pull/1801.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1801.patch",
"merged_at": null
} | true |
|
https://api.github.com/repos/huggingface/datasets/issues/1800 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1800/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1800/comments | https://api.github.com/repos/huggingface/datasets/issues/1800/events | https://github.com/huggingface/datasets/pull/1800 | 797,798,689 | MDExOlB1bGxSZXF1ZXN0NTY0NzE5MjA3 | 1,800 | Add DuoRC Dataset | {
"login": "gchhablani",
"id": 29076344,
"node_id": "MDQ6VXNlcjI5MDc2MzQ0",
"avatar_url": "https://avatars.githubusercontent.com/u/29076344?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/gchhablani",
"html_url": "https://github.com/gchhablani",
"followers_url": "https://api.github.com/users/gchhablani/followers",
"following_url": "https://api.github.com/users/gchhablani/following{/other_user}",
"gists_url": "https://api.github.com/users/gchhablani/gists{/gist_id}",
"starred_url": "https://api.github.com/users/gchhablani/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/gchhablani/subscriptions",
"organizations_url": "https://api.github.com/users/gchhablani/orgs",
"repos_url": "https://api.github.com/users/gchhablani/repos",
"events_url": "https://api.github.com/users/gchhablani/events{/privacy}",
"received_events_url": "https://api.github.com/users/gchhablani/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Thanks for approving @lhoestq!\r\nWill apply these changes for the other datasets I've added too."
] | 1,612,123,319,000 | 1,612,328,505,000 | 1,612,306,166,000 | CONTRIBUTOR | null | Hi,
DuoRC SelfRC is one type of the [DuoRC Dataset](https://duorc.github.io/). DuoRC SelfRC is a crowdsourced Abstractive/Extractive Question-Answering dataset based on Wikipedia movie plots. It contains examples that may have answers in the movie plot, synthesized answers which are not present in the movie plot, or no answers. I have also added ParaphraseRC - the other type of DuoRC dataset where questions are based on Wikipedia movie plots and answers are based on corresponding IMDb movie plots.
Paper : [https://arxiv.org/abs/1804.07927](https://arxiv.org/abs/1804.07927)
I want to add this to 🤗 datasets to make it more accessible to the community. I have added all the details that I could find. Please let me know if anything else is needed from my end.
Thanks,
Gunjan
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1800/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1800/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1800",
"html_url": "https://github.com/huggingface/datasets/pull/1800",
"diff_url": "https://github.com/huggingface/datasets/pull/1800.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1800.patch",
"merged_at": 1612306166000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1799 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1799/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1799/comments | https://api.github.com/repos/huggingface/datasets/issues/1799/events | https://github.com/huggingface/datasets/pull/1799 | 797,789,439 | MDExOlB1bGxSZXF1ZXN0NTY0NzEyMzUy | 1,799 | Update: SWDA - Fixed code to use all metadata features. Added comments and cleaned c… | {
"login": "gmihaila",
"id": 22454783,
"node_id": "MDQ6VXNlcjIyNDU0Nzgz",
"avatar_url": "https://avatars.githubusercontent.com/u/22454783?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/gmihaila",
"html_url": "https://github.com/gmihaila",
"followers_url": "https://api.github.com/users/gmihaila/followers",
"following_url": "https://api.github.com/users/gmihaila/following{/other_user}",
"gists_url": "https://api.github.com/users/gmihaila/gists{/gist_id}",
"starred_url": "https://api.github.com/users/gmihaila/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/gmihaila/subscriptions",
"organizations_url": "https://api.github.com/users/gmihaila/orgs",
"repos_url": "https://api.github.com/users/gmihaila/repos",
"events_url": "https://api.github.com/users/gmihaila/events{/privacy}",
"received_events_url": "https://api.github.com/users/gmihaila/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"@yjernite Pushed all the changes you recommended. Thank you for your help!"
] | 1,612,120,735,000 | 1,612,908,373,000 | 1,612,885,798,000 | CONTRIBUTOR | null | This is a dataset I currently use my research and I realized some features are not being returned.
Previous code was not using all available metadata and was kind of messy
I fixed code to use all metadata and made some modification to be more efficient and better formatted.
Please let me know if I need to make any changes. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1799/reactions",
"total_count": 1,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 1,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1799/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1799",
"html_url": "https://github.com/huggingface/datasets/pull/1799",
"diff_url": "https://github.com/huggingface/datasets/pull/1799.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1799.patch",
"merged_at": 1612885798000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1798 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1798/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1798/comments | https://api.github.com/repos/huggingface/datasets/issues/1798/events | https://github.com/huggingface/datasets/pull/1798 | 797,766,818 | MDExOlB1bGxSZXF1ZXN0NTY0Njk2NjE1 | 1,798 | Add Arabic sarcasm dataset | {
"login": "mapmeld",
"id": 643918,
"node_id": "MDQ6VXNlcjY0MzkxOA==",
"avatar_url": "https://avatars.githubusercontent.com/u/643918?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mapmeld",
"html_url": "https://github.com/mapmeld",
"followers_url": "https://api.github.com/users/mapmeld/followers",
"following_url": "https://api.github.com/users/mapmeld/following{/other_user}",
"gists_url": "https://api.github.com/users/mapmeld/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mapmeld/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mapmeld/subscriptions",
"organizations_url": "https://api.github.com/users/mapmeld/orgs",
"repos_url": "https://api.github.com/users/mapmeld/repos",
"events_url": "https://api.github.com/users/mapmeld/events{/privacy}",
"received_events_url": "https://api.github.com/users/mapmeld/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"@lhoestq thanks for the comments - I believe these are now addressed. I re-generated the datasets_info.json and dummy data"
] | 1,612,114,735,000 | 1,612,989,553,000 | 1,612,348,554,000 | CONTRIBUTOR | null | This MIT license dataset: https://github.com/iabufarha/ArSarcasm
Via https://sites.google.com/view/ar-sarcasm-sentiment-detection/ | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1798/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1798/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1798",
"html_url": "https://github.com/huggingface/datasets/pull/1798",
"diff_url": "https://github.com/huggingface/datasets/pull/1798.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1798.patch",
"merged_at": 1612348554000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1797 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1797/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1797/comments | https://api.github.com/repos/huggingface/datasets/issues/1797/events | https://github.com/huggingface/datasets/issues/1797 | 797,357,901 | MDU6SXNzdWU3OTczNTc5MDE= | 1,797 | Connection error | {
"login": "smile0925",
"id": 46243662,
"node_id": "MDQ6VXNlcjQ2MjQzNjYy",
"avatar_url": "https://avatars.githubusercontent.com/u/46243662?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/smile0925",
"html_url": "https://github.com/smile0925",
"followers_url": "https://api.github.com/users/smile0925/followers",
"following_url": "https://api.github.com/users/smile0925/following{/other_user}",
"gists_url": "https://api.github.com/users/smile0925/gists{/gist_id}",
"starred_url": "https://api.github.com/users/smile0925/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/smile0925/subscriptions",
"organizations_url": "https://api.github.com/users/smile0925/orgs",
"repos_url": "https://api.github.com/users/smile0925/repos",
"events_url": "https://api.github.com/users/smile0925/events{/privacy}",
"received_events_url": "https://api.github.com/users/smile0925/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi ! For future references let me add a link to our discussion here : https://github.com/huggingface/datasets/issues/759#issuecomment-770684693\r\n\r\nLet me know if you manage to fix your proxy issue or if we can do something on our end to help you :)"
] | 1,611,991,965,000 | 1,628,100,577,000 | 1,628,100,577,000 | NONE | null | Hi
I am hitting to the error, help me and thanks.
`train_data = datasets.load_dataset("xsum", split="train")`
`ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.0.2/datasets/xsum/xsum.py` | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1797/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1797/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1795 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1795/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1795/comments | https://api.github.com/repos/huggingface/datasets/issues/1795/events | https://github.com/huggingface/datasets/pull/1795 | 797,021,730 | MDExOlB1bGxSZXF1ZXN0NTY0MDk5OTUz | 1,795 | Custom formatting for lazy map + arrow data extraction refactor | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"This PR is amazing!!!\r\n\r\nI only looked at `arrow_dataset.py` and `formatting/formatting.py` but those look good to me.\r\n\r\nMy only (tiny) concern is the name of the function: I don't think it's self-evident that `set_format` applies a generic transformation, and some people might not look too far into the doc.\r\n\r\nMaybe we could have an `apply_transform` or `process_columns` method which is called by `set_format` (to keep backward compatibility)?",
"What about something like `.set_format` and `.set_transform` ?\r\n- set_format would be the same as right now, i.e. defined by a format type.\r\n- set_transform would define the transformation that is applied on output batches on-the-fly.\r\n\r\nI was also thinking about `._with_format` and `.with_transform`. It could be their equivalent but would create a **new** dataset with the corresponding format or transform ? I know @sgugger was interested in something like that.",
"Yup, I think that would make all of these options very clear!",
"I like all those options as well (as long as the `_` in `_with_format` is a typo ;-) )",
"Yes it's a typo indeed ;)\r\n\r\nAlright I'll do the changes !",
"I took all your suggestions into account, thanks :)\r\nLet me know if you have more comments"
] | 1,611,938,153,000 | 1,612,518,847,000 | 1,612,518,846,000 | MEMBER | null | Hi !
This PR refactors the way data are extracted from pyarrow tables to extend it to the use of custom formatting functions.
While the internal storage of the dataset is always the Apache Arrow format, by setting a specific format on a dataset, you can cast the output of `datasets.Dataset.__getitem__` in NumPy/pandas/PyTorch/TensorFlow, on-the-fly.
A specific format can be activated with `datasets.Dataset.set_format`. For example: `dataset.set_format(type='torch', columns=['label'])`.
### What's new:
You can now also define your own formatting function that is applied on-the-fly. To do so you can pass your formatting function in the `transform` parameter of `datasets.Dataset.set_format`, and keep `type` to `None`.
A formatting function is a callable that takes a batch (as a dict, formatted as python) as input and returns a batch.
Here is an example to tokenize and pad tokens on-the-fly when accessing the samples:
```python
from datasets import load_dataset
from transformers import BertTokenizer
tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
def encode(batch):
return tokenizer(batch["sentence1"], padding="longest", truncation=True, max_length=512, return_tensors="pt")
dataset = load_dataset("glue", "mrpc", split="train")
dataset.set_format(transform=encode)
dataset.format
# {'type': 'custom', 'format_kwargs': {'transform': <function __main__.encode(batch)>}, 'columns': ['idx', 'label', 'sentence1', 'sentence2'], 'output_all_columns': False}
dataset[:2]
# {'input_ids': tensor([[ 101, 2572, 3217, ... 102]]), 'token_type_ids': tensor([[0, 0, 0, ... 0]]), 'attention_mask': tensor([[1, 1, 1, ... 1]])}
```
Let me know what you think of this API !
We can still change it if we want to.
Especially @sgugger since this may be useful when using `datasets` to train models.
EDIT: this was changed to `dataset.set_transform(encode)`
-------------------
Note:
I had to refactor the way data are extracted and formatted from pyarrow tables and I made it more robust and flexible. In particular I modularized it to be able to unit-test it properly. This was very helpful since I detected some bugs in the previous implementation and was able to fix them.
Some bugs I found and fixed:
- certain slices/ranges were not supported because negative ids were passed to pyarrow
- formatting as numpy/torch/tensorflow a column would make it lose its precision information (for example a column as `Value("float32")`) would be returned as a tensor of float64 (default behavior for numpy)
- on windows integers formatted as numpy/torch/tensorflow were not always int64 tensors by default but were int32
The unit tests for those are now really extensive :) | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1795/reactions",
"total_count": 3,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 3,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1795/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1795",
"html_url": "https://github.com/huggingface/datasets/pull/1795",
"diff_url": "https://github.com/huggingface/datasets/pull/1795.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1795.patch",
"merged_at": 1612518846000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1794 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1794/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1794/comments | https://api.github.com/repos/huggingface/datasets/issues/1794/events | https://github.com/huggingface/datasets/pull/1794 | 796,975,588 | MDExOlB1bGxSZXF1ZXN0NTY0MDYyMTkw | 1,794 | Move silicone directory | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,934,395,000 | 1,611,937,899,000 | 1,611,937,898,000 | MEMBER | null | The dataset was added in #1761 but not in the right directory. I'm moving it to /datasets | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1794/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1794/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1794",
"html_url": "https://github.com/huggingface/datasets/pull/1794",
"diff_url": "https://github.com/huggingface/datasets/pull/1794.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1794.patch",
"merged_at": 1611937898000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1793 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1793/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1793/comments | https://api.github.com/repos/huggingface/datasets/issues/1793/events | https://github.com/huggingface/datasets/pull/1793 | 796,940,299 | MDExOlB1bGxSZXF1ZXN0NTY0MDMzMjk0 | 1,793 | Minor fix the docstring of load_metric | {
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,931,655,000 | 1,611,939,212,000 | 1,611,939,212,000 | MEMBER | null | Minor fix:
- duplicated attributes
- format fix | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1793/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1793/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1793",
"html_url": "https://github.com/huggingface/datasets/pull/1793",
"diff_url": "https://github.com/huggingface/datasets/pull/1793.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1793.patch",
"merged_at": 1611939212000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1792 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1792/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1792/comments | https://api.github.com/repos/huggingface/datasets/issues/1792/events | https://github.com/huggingface/datasets/pull/1792 | 796,934,627 | MDExOlB1bGxSZXF1ZXN0NTY0MDI4NTk1 | 1,792 | Allow loading dataset in-memory | {
"login": "albertvillanova",
"id": 8515462,
"node_id": "MDQ6VXNlcjg1MTU0NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/albertvillanova",
"html_url": "https://github.com/albertvillanova",
"followers_url": "https://api.github.com/users/albertvillanova/followers",
"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",
"gists_url": "https://api.github.com/users/albertvillanova/gists{/gist_id}",
"starred_url": "https://api.github.com/users/albertvillanova/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/albertvillanova/subscriptions",
"organizations_url": "https://api.github.com/users/albertvillanova/orgs",
"repos_url": "https://api.github.com/users/albertvillanova/repos",
"events_url": "https://api.github.com/users/albertvillanova/events{/privacy}",
"received_events_url": "https://api.github.com/users/albertvillanova/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"I am wondering how to test their difference...",
"> ring how to test their difference...\r\n\r\nHmm I don't think pyarrow exposes an API to check if a Table comes from a file that is memory-mapped. In particular since all the buffer/memory logic is in the C++ part of pyarrow.\r\n\r\nOtherwise we can still check the difference of RAM used when loading a big chunk of data.",
"> Hmm I don't think pyarrow exposes an API to check if a Table comes from a file that is memory-mapped. In particular since all the buffer/memory logic is in the C++ part of pyarrow.\r\n> \r\n> Otherwise we can still check the difference of RAM used when loading a big chunk of data.\r\n\r\n@lhoestq I think I found a way: `pa.total_allocated_bytes()` :smirk:"
] | 1,611,931,190,000 | 1,613,139,208,000 | 1,613,139,208,000 | MEMBER | null | Allow loading datasets either from:
- memory-mapped file (current implementation)
- from file descriptor, copying data to physical memory
Close #708 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1792/reactions",
"total_count": 2,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 2,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1792/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1792",
"html_url": "https://github.com/huggingface/datasets/pull/1792",
"diff_url": "https://github.com/huggingface/datasets/pull/1792.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1792.patch",
"merged_at": 1613139208000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1791 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1791/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1791/comments | https://api.github.com/repos/huggingface/datasets/issues/1791/events | https://github.com/huggingface/datasets/pull/1791 | 796,924,519 | MDExOlB1bGxSZXF1ZXN0NTY0MDE5OTk3 | 1,791 | Small fix with corrected logging of train vectors | {
"login": "TezRomacH",
"id": 7549587,
"node_id": "MDQ6VXNlcjc1NDk1ODc=",
"avatar_url": "https://avatars.githubusercontent.com/u/7549587?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/TezRomacH",
"html_url": "https://github.com/TezRomacH",
"followers_url": "https://api.github.com/users/TezRomacH/followers",
"following_url": "https://api.github.com/users/TezRomacH/following{/other_user}",
"gists_url": "https://api.github.com/users/TezRomacH/gists{/gist_id}",
"starred_url": "https://api.github.com/users/TezRomacH/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/TezRomacH/subscriptions",
"organizations_url": "https://api.github.com/users/TezRomacH/orgs",
"repos_url": "https://api.github.com/users/TezRomacH/repos",
"events_url": "https://api.github.com/users/TezRomacH/events{/privacy}",
"received_events_url": "https://api.github.com/users/TezRomacH/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,930,366,000 | 1,611,946,270,000 | 1,611,939,907,000 | CONTRIBUTOR | null | Now you can set `train_size` to the whole dataset size via `train_size = -1` and login writes not `Training the index with the first -1 vectors` but (for example) `Training the index with the first 16123 vectors`. And maybe more than dataset length. Logging will be correct | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1791/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1791/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1791",
"html_url": "https://github.com/huggingface/datasets/pull/1791",
"diff_url": "https://github.com/huggingface/datasets/pull/1791.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1791.patch",
"merged_at": 1611939907000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1789 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1789/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1789/comments | https://api.github.com/repos/huggingface/datasets/issues/1789/events | https://github.com/huggingface/datasets/pull/1789 | 796,229,721 | MDExOlB1bGxSZXF1ZXN0NTYzNDQyMTc2 | 1,789 | [BUG FIX] typo in the import path for metrics | {
"login": "yjernite",
"id": 10469459,
"node_id": "MDQ6VXNlcjEwNDY5NDU5",
"avatar_url": "https://avatars.githubusercontent.com/u/10469459?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/yjernite",
"html_url": "https://github.com/yjernite",
"followers_url": "https://api.github.com/users/yjernite/followers",
"following_url": "https://api.github.com/users/yjernite/following{/other_user}",
"gists_url": "https://api.github.com/users/yjernite/gists{/gist_id}",
"starred_url": "https://api.github.com/users/yjernite/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/yjernite/subscriptions",
"organizations_url": "https://api.github.com/users/yjernite/orgs",
"repos_url": "https://api.github.com/users/yjernite/repos",
"events_url": "https://api.github.com/users/yjernite/events{/privacy}",
"received_events_url": "https://api.github.com/users/yjernite/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,856,897,000 | 1,611,857,636,000 | 1,611,857,636,000 | MEMBER | null | This tiny PR fixes a typo introduced in https://github.com/huggingface/datasets/pull/1726 which prevents loading new metrics | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1789/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1789/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1789",
"html_url": "https://github.com/huggingface/datasets/pull/1789",
"diff_url": "https://github.com/huggingface/datasets/pull/1789.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1789.patch",
"merged_at": 1611857635000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1788 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1788/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1788/comments | https://api.github.com/repos/huggingface/datasets/issues/1788/events | https://github.com/huggingface/datasets/pull/1788 | 795,544,422 | MDExOlB1bGxSZXF1ZXN0NTYyODc1NzA2 | 1,788 | Doc2dial rc | {
"login": "songfeng",
"id": 2062185,
"node_id": "MDQ6VXNlcjIwNjIxODU=",
"avatar_url": "https://avatars.githubusercontent.com/u/2062185?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/songfeng",
"html_url": "https://github.com/songfeng",
"followers_url": "https://api.github.com/users/songfeng/followers",
"following_url": "https://api.github.com/users/songfeng/following{/other_user}",
"gists_url": "https://api.github.com/users/songfeng/gists{/gist_id}",
"starred_url": "https://api.github.com/users/songfeng/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/songfeng/subscriptions",
"organizations_url": "https://api.github.com/users/songfeng/orgs",
"repos_url": "https://api.github.com/users/songfeng/repos",
"events_url": "https://api.github.com/users/songfeng/events{/privacy}",
"received_events_url": "https://api.github.com/users/songfeng/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,791,460,000 | 1,611,859,573,000 | 1,611,859,573,000 | CONTRIBUTOR | null | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1788/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1788/timeline | null | true | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1788",
"html_url": "https://github.com/huggingface/datasets/pull/1788",
"diff_url": "https://github.com/huggingface/datasets/pull/1788.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1788.patch",
"merged_at": null
} | true |
|
https://api.github.com/repos/huggingface/datasets/issues/1787 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1787/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1787/comments | https://api.github.com/repos/huggingface/datasets/issues/1787/events | https://github.com/huggingface/datasets/pull/1787 | 795,485,842 | MDExOlB1bGxSZXF1ZXN0NTYyODI1NTI3 | 1,787 | Update the CommonGen citation information | {
"login": "yuchenlin",
"id": 10104354,
"node_id": "MDQ6VXNlcjEwMTA0MzU0",
"avatar_url": "https://avatars.githubusercontent.com/u/10104354?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/yuchenlin",
"html_url": "https://github.com/yuchenlin",
"followers_url": "https://api.github.com/users/yuchenlin/followers",
"following_url": "https://api.github.com/users/yuchenlin/following{/other_user}",
"gists_url": "https://api.github.com/users/yuchenlin/gists{/gist_id}",
"starred_url": "https://api.github.com/users/yuchenlin/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/yuchenlin/subscriptions",
"organizations_url": "https://api.github.com/users/yuchenlin/orgs",
"repos_url": "https://api.github.com/users/yuchenlin/repos",
"events_url": "https://api.github.com/users/yuchenlin/events{/privacy}",
"received_events_url": "https://api.github.com/users/yuchenlin/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,785,567,000 | 1,611,842,189,000 | 1,611,842,189,000 | CONTRIBUTOR | null | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1787/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1787/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1787",
"html_url": "https://github.com/huggingface/datasets/pull/1787",
"diff_url": "https://github.com/huggingface/datasets/pull/1787.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1787.patch",
"merged_at": 1611842189000
} | true |
|
https://api.github.com/repos/huggingface/datasets/issues/1786 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1786/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1786/comments | https://api.github.com/repos/huggingface/datasets/issues/1786/events | https://github.com/huggingface/datasets/issues/1786 | 795,462,816 | MDU6SXNzdWU3OTU0NjI4MTY= | 1,786 | How to use split dataset | {
"login": "kkhan188",
"id": 78090287,
"node_id": "MDQ6VXNlcjc4MDkwMjg3",
"avatar_url": "https://avatars.githubusercontent.com/u/78090287?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/kkhan188",
"html_url": "https://github.com/kkhan188",
"followers_url": "https://api.github.com/users/kkhan188/followers",
"following_url": "https://api.github.com/users/kkhan188/following{/other_user}",
"gists_url": "https://api.github.com/users/kkhan188/gists{/gist_id}",
"starred_url": "https://api.github.com/users/kkhan188/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/kkhan188/subscriptions",
"organizations_url": "https://api.github.com/users/kkhan188/orgs",
"repos_url": "https://api.github.com/users/kkhan188/repos",
"events_url": "https://api.github.com/users/kkhan188/events{/privacy}",
"received_events_url": "https://api.github.com/users/kkhan188/received_events",
"type": "User",
"site_admin": false
} | [
{
"id": 1935892912,
"node_id": "MDU6TGFiZWwxOTM1ODkyOTEy",
"url": "https://api.github.com/repos/huggingface/datasets/labels/question",
"name": "question",
"color": "d876e3",
"default": true,
"description": "Further information is requested"
}
] | closed | false | null | [] | null | [
"By default, all 3 splits will be loaded if you run the following:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\ndataset = load_dataset(\"lambada\")\r\nprint(dataset[\"train\"])\r\nprint(dataset[\"valid\"])\r\n\r\n```\r\n\r\nIf you wanted to do load this manually, you could do this:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\ndata_files = {\r\n \"train\": \"data/lambada/train.txt\",\r\n \"valid\": \"data/lambada/valid.txt\",\r\n \"test\": \"data/lambada/test.txt\",\r\n}\r\nds = load_dataset(\"text\", data_files=data_files)\r\n```",
"Thank you for the quick response! "
] | 1,611,783,467,000 | 1,619,191,059,000 | 1,619,191,059,000 | NONE | null | 
Hey,
I want to split the lambada dataset into corpus, test, train and valid txt files (like penn treebank) but I am not able to achieve this. What I am doing is, executing the lambada.py file in my project but its not giving desired results. Any help will be appreciated! | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1786/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1786/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1785 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1785/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1785/comments | https://api.github.com/repos/huggingface/datasets/issues/1785/events | https://github.com/huggingface/datasets/issues/1785 | 795,458,856 | MDU6SXNzdWU3OTU0NTg4NTY= | 1,785 | Not enough disk space (Needed: Unknown size) when caching on a cluster | {
"login": "olinguyen",
"id": 4341867,
"node_id": "MDQ6VXNlcjQzNDE4Njc=",
"avatar_url": "https://avatars.githubusercontent.com/u/4341867?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/olinguyen",
"html_url": "https://github.com/olinguyen",
"followers_url": "https://api.github.com/users/olinguyen/followers",
"following_url": "https://api.github.com/users/olinguyen/following{/other_user}",
"gists_url": "https://api.github.com/users/olinguyen/gists{/gist_id}",
"starred_url": "https://api.github.com/users/olinguyen/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/olinguyen/subscriptions",
"organizations_url": "https://api.github.com/users/olinguyen/orgs",
"repos_url": "https://api.github.com/users/olinguyen/repos",
"events_url": "https://api.github.com/users/olinguyen/events{/privacy}",
"received_events_url": "https://api.github.com/users/olinguyen/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi ! \r\n\r\nWhat do you mean by \"disk_usage(\".\").free` can't compute on the cluster's shared disk\" exactly ?\r\nDoes it return 0 ?",
"Yes, that's right. It shows 0 free space even though there is. I suspect it might have to do with permissions on the shared disk.\r\n\r\n```python\r\n>>> disk_usage(\".\")\r\nusage(total=999999, used=999999, free=0)\r\n```",
"That's an interesting behavior...\r\nDo you know any other way to get the free space that works in your case ?\r\nAlso if it's a permission issue could you try fix the permissions and let mus know if that helped ?",
"I think its an issue on the clusters end (unclear exactly why -- maybe something with docker containers?), will close the issue"
] | 1,611,783,059,000 | 1,611,968,876,000 | 1,611,968,876,000 | CONTRIBUTOR | null | I'm running some experiments where I'm caching datasets on a cluster and accessing it through multiple compute nodes. However, I get an error when loading the cached dataset from the shared disk.
The exact error thrown:
```bash
>>> load_dataset(dataset, cache_dir="/path/to/cluster/shared/path")
OSError: Not enough disk space. Needed: Unknown size (download: Unknown size, generated: Unknown size, post-processed: Unknown size)
```
[`utils.has_sufficient_disk_space`](https://github.com/huggingface/datasets/blob/8a03ab7d123a76ee744304f21ce868c75f411214/src/datasets/utils/py_utils.py#L332) fails on each job because of how the cluster system is designed (`disk_usage(".").free` can't compute on the cluster's shared disk).
This is exactly where the error gets thrown:
https://github.com/huggingface/datasets/blob/master/src/datasets/builder.py#L502
```python
if not utils.has_sufficient_disk_space(self.info.size_in_bytes or 0, directory=self._cache_dir_root):
raise IOError(
"Not enough disk space. Needed: {} (download: {}, generated: {}, post-processed: {})".format(
utils.size_str(self.info.size_in_bytes or 0),
utils.size_str(self.info.download_size or 0),
utils.size_str(self.info.dataset_size or 0),
utils.size_str(self.info.post_processing_size or 0),
)
)
```
What would be a good way to circumvent this? my current fix is to manually comment out that part, but that is not ideal.
Would it be possible to pass a flag to skip this check on disk space? | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1785/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1785/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1784 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1784/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1784/comments | https://api.github.com/repos/huggingface/datasets/issues/1784/events | https://github.com/huggingface/datasets/issues/1784 | 794,659,174 | MDU6SXNzdWU3OTQ2NTkxNzQ= | 1,784 | JSONDecodeError on JSON with multiple lines | {
"login": "gchhablani",
"id": 29076344,
"node_id": "MDQ6VXNlcjI5MDc2MzQ0",
"avatar_url": "https://avatars.githubusercontent.com/u/29076344?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/gchhablani",
"html_url": "https://github.com/gchhablani",
"followers_url": "https://api.github.com/users/gchhablani/followers",
"following_url": "https://api.github.com/users/gchhablani/following{/other_user}",
"gists_url": "https://api.github.com/users/gchhablani/gists{/gist_id}",
"starred_url": "https://api.github.com/users/gchhablani/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/gchhablani/subscriptions",
"organizations_url": "https://api.github.com/users/gchhablani/orgs",
"repos_url": "https://api.github.com/users/gchhablani/repos",
"events_url": "https://api.github.com/users/gchhablani/events{/privacy}",
"received_events_url": "https://api.github.com/users/gchhablani/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi !\r\n\r\nThe `json` dataset script does support this format. For example loading a dataset with this format works on my side:\r\n```json\r\n{\"key1\":11, \"key2\":12, \"key3\":13}\r\n{\"key1\":21, \"key2\":22, \"key3\":23}\r\n```\r\n\r\nCan you show the full stacktrace please ? Also which version of datasets and pyarrow are you using ?\r\n\r\n",
"Hi Quentin!\r\n\r\nI apologize for bothering you. There was some issue with my pyarrow version as far as I understand. I don't remember the exact version I was using as I didn't check it.\r\n\r\nI repeated it with `datasets 1.2.1` and `pyarrow 2.0.0` and it worked.\r\n\r\nClosing this issue. Again, sorry for the bother.\r\n\r\nThanks,\r\nGunjan"
] | 1,611,706,762,000 | 1,612,082,838,000 | 1,612,082,838,000 | CONTRIBUTOR | null | Hello :),
I have been trying to load data using a JSON file. Based on the [docs](https://huggingface.co/docs/datasets/loading_datasets.html#json-files), the following format is supported:
```json
{"key1":11, "key2":12, "key3":13}
{"key1":21, "key2":22, "key3":23}
```
But, when I try loading a dataset with the same format, I get a JSONDecodeError : `JSONDecodeError: Extra data: line 2 column 1 (char 7142)`. Now, this is expected when using `json` to load a JSON file. But I was wondering if there are any special arguments to pass when using `load_dataset` as the docs suggest that this format is supported.
When I convert the JSON file to a list of dictionaries format, I get AttributeError: `AttributeError: 'list' object has no attribute 'keys'`. So, I can't convert them to list of dictionaries either.
Please let me know :)
Thanks,
Gunjan | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1784/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1784/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1783 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1783/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1783/comments | https://api.github.com/repos/huggingface/datasets/issues/1783/events | https://github.com/huggingface/datasets/issues/1783 | 794,544,495 | MDU6SXNzdWU3OTQ1NDQ0OTU= | 1,783 | Dataset Examples Explorer | {
"login": "ChewKokWah",
"id": 30875246,
"node_id": "MDQ6VXNlcjMwODc1MjQ2",
"avatar_url": "https://avatars.githubusercontent.com/u/30875246?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ChewKokWah",
"html_url": "https://github.com/ChewKokWah",
"followers_url": "https://api.github.com/users/ChewKokWah/followers",
"following_url": "https://api.github.com/users/ChewKokWah/following{/other_user}",
"gists_url": "https://api.github.com/users/ChewKokWah/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ChewKokWah/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ChewKokWah/subscriptions",
"organizations_url": "https://api.github.com/users/ChewKokWah/orgs",
"repos_url": "https://api.github.com/users/ChewKokWah/repos",
"events_url": "https://api.github.com/users/ChewKokWah/events{/privacy}",
"received_events_url": "https://api.github.com/users/ChewKokWah/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi @ChewKokWah,\r\n\r\nWe're working on it! In the meantime, you can still find the dataset explorer at the following URL: https://huggingface.co/datasets/viewer/",
"Glad to see that it still exist, this existing one is more than good enough for me, it is feature rich, simple to use and concise. \r\nHope similar feature can be retain in the future version."
] | 1,611,693,542,000 | 1,612,187,924,000 | 1,612,187,924,000 | NONE | null | In the Older version of the Dataset, there are a useful Dataset Explorer that allow user to visualize the examples (training, test and validation) of a particular dataset, it is no longer there in current version.
Hope HuggingFace can re-enable the feature that at least allow viewing of the first 20 examples of a particular dataset, or alternatively can extract 20 examples for each datasets and make those part of the Dataset Card Documentation. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1783/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1783/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1782 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1782/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1782/comments | https://api.github.com/repos/huggingface/datasets/issues/1782/events | https://github.com/huggingface/datasets/pull/1782 | 794,167,920 | MDExOlB1bGxSZXF1ZXN0NTYxNzI5OTc3 | 1,782 | Update pyarrow import warning | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,661,631,000 | 1,611,669,050,000 | 1,611,669,049,000 | MEMBER | null | Update the minimum version to >=0.17.1 in the pyarrow version check and update the message.
I also moved the check at the top of the __init__.py | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1782/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1782/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1782",
"html_url": "https://github.com/huggingface/datasets/pull/1782",
"diff_url": "https://github.com/huggingface/datasets/pull/1782.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1782.patch",
"merged_at": 1611669049000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1780 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1780/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1780/comments | https://api.github.com/repos/huggingface/datasets/issues/1780/events | https://github.com/huggingface/datasets/pull/1780 | 793,882,132 | MDExOlB1bGxSZXF1ZXN0NTYxNDkxNTgy | 1,780 | Update SciFact URL | {
"login": "dwadden",
"id": 3091916,
"node_id": "MDQ6VXNlcjMwOTE5MTY=",
"avatar_url": "https://avatars.githubusercontent.com/u/3091916?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/dwadden",
"html_url": "https://github.com/dwadden",
"followers_url": "https://api.github.com/users/dwadden/followers",
"following_url": "https://api.github.com/users/dwadden/following{/other_user}",
"gists_url": "https://api.github.com/users/dwadden/gists{/gist_id}",
"starred_url": "https://api.github.com/users/dwadden/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/dwadden/subscriptions",
"organizations_url": "https://api.github.com/users/dwadden/orgs",
"repos_url": "https://api.github.com/users/dwadden/repos",
"events_url": "https://api.github.com/users/dwadden/events{/privacy}",
"received_events_url": "https://api.github.com/users/dwadden/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi ! The error you get is the result of some verifications the library is doing when loading a dataset that already has some metadata in the dataset_infos.json. You can ignore the verifications with \r\n```\r\npython datasets-cli test datasets/scifact --save_infos --all_configs --ignore_verifications\r\n```\r\nThis will update the dataset_infos.json :)",
"Nice, I ran that command and `dataset_infos` seems to have been updated appropriately; I added this to the PR. But when I try to load the dataset it still seems like it's getting a path to the old URL somehow. I `pip install -e`'d my fork of the repo, so I'm not sure why `load_dataset` is still looking for the old version of the file. Stack trace below.\r\n\r\n```\r\nIn [1]: import datasets\r\n\r\nIn [2]: ds = datasets.load_dataset(\"scifact\", \"claims\")\r\nDownloading: 7.34kB [00:00, 2.58MB/s]\r\nDownloading: 3.38kB [00:00, 1.36MB/s]\r\nDownloading and preparing dataset scifact/claims (download: 2.72 MiB, generated: 258.64 KiB, post-processed: Unknown size, total: 2.97 MiB) to /Users/dwadden/.cache/huggingface/datasets/scifact/claims/1.0.0/2bb675b2003716a061a4d8ce27fab32ab7f6d010016bab08ffaccea3c14ec6e7...\r\n---------------------------------------------------------------------------\r\nConnectionError Traceback (most recent call last)\r\n<ipython-input-2-9a50b954d89a> in <module>\r\n----> 1 ds = datasets.load_dataset(\"scifact\", \"claims\")\r\n\r\n~/proj/datasets/src/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, save_infos, script_version, **config_kwargs)\r\n 672\r\n 673 # Download and prepare data\r\n--> 674 builder_instance.download_and_prepare(\r\n 675 download_config=download_config,\r\n 676 download_mode=download_mode,\r\n\r\n~/proj/datasets/src/datasets/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, **download_and_prepare_kwargs)\r\n 560 logger.warning(\"HF google storage unreachable. Downloading and preparing it from source\")\r\n 561 if not downloaded_from_gcs:\r\n--> 562 self._download_and_prepare(\r\n 563 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs\r\n 564 )\r\n\r\n~/proj/datasets/src/datasets/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)\r\n 616 split_dict = SplitDict(dataset_name=self.name)\r\n 617 split_generators_kwargs = self._make_split_generators_kwargs(prepare_split_kwargs)\r\n--> 618 split_generators = self._split_generators(dl_manager, **split_generators_kwargs)\r\n 619\r\n 620 # Checksums verification\r\n\r\n~/.cache/huggingface/modules/datasets_modules/datasets/scifact/2bb675b2003716a061a4d8ce27fab32ab7f6d010016bab08ffaccea3c14ec6e7/scifact.py in _split_generators(self, dl_manager)\r\n 92 # dl_manager is a datasets.download.DownloadManager that can be used to\r\n 93 # download and extract URLs\r\n---> 94 dl_dir = dl_manager.download_and_extract(_URL)\r\n 95\r\n 96 if self.config.name == \"corpus\":\r\n\r\n~/proj/datasets/src/datasets/utils/download_manager.py in download_and_extract(self, url_or_urls)\r\n 256 extracted_path(s): `str`, extracted paths of given URL(s).\r\n 257 \"\"\"\r\n--> 258 return self.extract(self.download(url_or_urls))\r\n 259\r\n 260 def get_recorded_sizes_checksums(self):\r\n\r\n~/proj/datasets/src/datasets/utils/download_manager.py in download(self, url_or_urls)\r\n 177\r\n 178 start_time = datetime.now()\r\n--> 179 downloaded_path_or_paths = map_nested(\r\n 180 download_func,\r\n 181 url_or_urls,\r\n\r\n~/proj/datasets/src/datasets/utils/py_utils.py in map_nested(function, data_struct, dict_only, map_list, map_tuple, map_numpy, num_proc, types)\r\n 223 # Singleton\r\n 224 if not isinstance(data_struct, dict) and not isinstance(data_struct, types):\r\n--> 225 return function(data_struct)\r\n 226\r\n 227 disable_tqdm = bool(logger.getEffectiveLevel() > INFO)\r\n\r\n~/proj/datasets/src/datasets/utils/file_utils.py in cached_path(url_or_filename, download_config, **download_kwargs)\r\n 348 if is_remote_url(url_or_filename):\r\n 349 # URL, so get it from the cache (downloading if necessary)\r\n--> 350 output_path = get_from_cache(\r\n 351 url_or_filename,\r\n 352 cache_dir=cache_dir,\r\n\r\n~/proj/datasets/src/datasets/utils/file_utils.py in get_from_cache(url, cache_dir, force_download, proxies, etag_timeout, resume_download, user_agent, local_files_only, use_etag, max_retries)\r\n 631 elif response is not None and response.status_code == 404:\r\n 632 raise FileNotFoundError(\"Couldn't find file at {}\".format(url))\r\n--> 633 raise ConnectionError(\"Couldn't reach {}\".format(url))\r\n 634\r\n 635 # Try a second time\r\n\r\nConnectionError: Couldn't reach https://ai2-s2-scifact.s3-us-west-2.amazonaws.com/release/2020-05-01/data.tar.gz\r\n```",
"Hi ! This may be because you need to point `load_dataset` to the path of the dataset script that has the updated url:\r\n```python\r\nload_dataset(\"./datasets/scifact\", \"claims\")\r\n```\r\n\r\nIf you don't use a path to the updated script, then the old one is used by deffault",
"Nice, I did\r\n```\r\nload_dataset(\"./datasets/scifact\", \"claims\")\r\n```\r\nand it worked. ",
"One more question about the way the code is being preprocessed. The way I've formatted the data, each entry is a claim, which may be associated with multiple evidence documents (similar to FEVER):\r\n```\r\n# My way\r\n{'id': 70,\r\n 'claim': 'Activation of PPM1D suppresses p53 function.',\r\n 'evidence': {'5956380': [{'sentences': [5, 6], 'label': 'SUPPORT'}],\r\n '4414547': [{'sentences': [5], 'label': 'SUPPORT'}]},\r\n 'cited_doc_ids': [5956380, 4414547]}\r\n```\r\n\r\nIn the Hugginface data, each entry is a single claim / evidence document pair. So, the above entry is converted into two separate entries, like so:\r\n```\r\n# huggingface\r\n[{'cited_doc_ids': [5956380, 4414547],\r\n 'claim': 'Activation of PPM1D suppresses p53 function.',\r\n 'evidence_doc_id': '5956380',\r\n 'evidence_label': 'SUPPORT',\r\n 'evidence_sentences': [5, 6],\r\n 'id': 70},\r\n {'cited_doc_ids': [5956380, 4414547],\r\n 'claim': 'Activation of PPM1D suppresses p53 function.',\r\n 'evidence_doc_id': '4414547',\r\n 'evidence_label': 'SUPPORT',\r\n 'evidence_sentences': [5],\r\n 'id': 70}]\r\n```\r\n\r\nWas this done by design? If not, would you mind if I modify the Huggingface code so that it more closely matches the format that people will get if they download the data from the SciFact repo?",
"Yes if you think the format is not convenient for training or evaluation we can change it.\r\nAlso I think we're doing something similar for FEVER: one example = one (claim, sentence) pair.\r\n\r\nLet's merge this PR first and then feel free to open a new PR to change the format :) ",
"Thanks for merging!\r\n\r\nI don't have super-strong feelings one way or the other in terms of the data, I think it's probably fine. I may revisit later."
] | 1,611,629,346,000 | 1,611,859,680,000 | 1,611,829,185,000 | CONTRIBUTOR | null | 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'}
``` | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1780/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1780/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1780",
"html_url": "https://github.com/huggingface/datasets/pull/1780",
"diff_url": "https://github.com/huggingface/datasets/pull/1780.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1780.patch",
"merged_at": 1611829185000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1779 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1779/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1779/comments | https://api.github.com/repos/huggingface/datasets/issues/1779/events | https://github.com/huggingface/datasets/pull/1779 | 793,539,703 | MDExOlB1bGxSZXF1ZXN0NTYxMjEwNjI5 | 1,779 | Ignore definition line number of functions for caching | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,592,949,000 | 1,611,656,420,000 | 1,611,656,419,000 | MEMBER | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1779/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1779/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1779",
"html_url": "https://github.com/huggingface/datasets/pull/1779",
"diff_url": "https://github.com/huggingface/datasets/pull/1779.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1779.patch",
"merged_at": 1611656419000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1778 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1778/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1778/comments | https://api.github.com/repos/huggingface/datasets/issues/1778/events | https://github.com/huggingface/datasets/pull/1778 | 793,474,507 | MDExOlB1bGxSZXF1ZXN0NTYxMTU2Mzk1 | 1,778 | Narrative QA Manual | {
"login": "rsanjaykamath",
"id": 18527321,
"node_id": "MDQ6VXNlcjE4NTI3MzIx",
"avatar_url": "https://avatars.githubusercontent.com/u/18527321?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/rsanjaykamath",
"html_url": "https://github.com/rsanjaykamath",
"followers_url": "https://api.github.com/users/rsanjaykamath/followers",
"following_url": "https://api.github.com/users/rsanjaykamath/following{/other_user}",
"gists_url": "https://api.github.com/users/rsanjaykamath/gists{/gist_id}",
"starred_url": "https://api.github.com/users/rsanjaykamath/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/rsanjaykamath/subscriptions",
"organizations_url": "https://api.github.com/users/rsanjaykamath/orgs",
"repos_url": "https://api.github.com/users/rsanjaykamath/repos",
"events_url": "https://api.github.com/users/rsanjaykamath/events{/privacy}",
"received_events_url": "https://api.github.com/users/rsanjaykamath/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"@lhoestq sorry I opened a new pull request because of some issues with the previous code base. This pull request is originally from #1364",
"Excellent comments. Thanks for those valuable suggestions. I changed everything as you have pointed out :) ",
"I've copied the same template as NarrativeQA now. Please let me know if this is fine. ",
"> Awesome thank you !!\r\n> This looks all good :)\r\n> \r\n> Just before we merge, I was wondering if you knew why the number of examples in the train set went from 1102 to 32747 in your last commit ? I can't see why the changes in the code would cause such a big difference\r\n\r\nOk the change was the way I presented the data. \r\nIn my previous code, I presented a story with a list of questions-answers related to the story per sample. So the total 1102 was the number of stories (not questions) in the train set. \r\n\r\nIn the case of `NarrativeQA`, the code presented each sample data with one single question. So the story gets replicated as many times based on number of questions per story. I felt this was not really memory efficient so I had coded the way I did earlier. \r\n\r\nBut since this would be inconsistent as you pointed out, I modified my code to suit the `NarrativeQA` approach. Hope it's clear now :) ",
"Ok I see ! that makes sense",
"Thanks for your time and helping me with all this :) Really appreciate the hardwork you guys do. "
] | 1,611,588,151,000 | 1,611,912,914,000 | 1,611,912,891,000 | CONTRIBUTOR | null | Submitting the manual version of Narrative QA script which requires a manual download from the original repository | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1778/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1778/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1778",
"html_url": "https://github.com/huggingface/datasets/pull/1778",
"diff_url": "https://github.com/huggingface/datasets/pull/1778.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1778.patch",
"merged_at": 1611912891000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1777 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1777/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1777/comments | https://api.github.com/repos/huggingface/datasets/issues/1777/events | https://github.com/huggingface/datasets/issues/1777 | 793,273,770 | MDU6SXNzdWU3OTMyNzM3NzA= | 1,777 | GPT2 MNLI training using run_glue.py | {
"login": "nlp-student",
"id": 76427077,
"node_id": "MDQ6VXNlcjc2NDI3MDc3",
"avatar_url": "https://avatars.githubusercontent.com/u/76427077?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/nlp-student",
"html_url": "https://github.com/nlp-student",
"followers_url": "https://api.github.com/users/nlp-student/followers",
"following_url": "https://api.github.com/users/nlp-student/following{/other_user}",
"gists_url": "https://api.github.com/users/nlp-student/gists{/gist_id}",
"starred_url": "https://api.github.com/users/nlp-student/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/nlp-student/subscriptions",
"organizations_url": "https://api.github.com/users/nlp-student/orgs",
"repos_url": "https://api.github.com/users/nlp-student/repos",
"events_url": "https://api.github.com/users/nlp-student/events{/privacy}",
"received_events_url": "https://api.github.com/users/nlp-student/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,572,032,000 | 1,611,573,173,000 | 1,611,573,173,000 | NONE | null | 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 ? | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1777/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1777/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1776 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1776/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1776/comments | https://api.github.com/repos/huggingface/datasets/issues/1776/events | https://github.com/huggingface/datasets/issues/1776 | 792,755,249 | MDU6SXNzdWU3OTI3NTUyNDk= | 1,776 | [Question & Bug Report] Can we preprocess a dataset on the fly? | {
"login": "shuaihuaiyi",
"id": 14048129,
"node_id": "MDQ6VXNlcjE0MDQ4MTI5",
"avatar_url": "https://avatars.githubusercontent.com/u/14048129?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/shuaihuaiyi",
"html_url": "https://github.com/shuaihuaiyi",
"followers_url": "https://api.github.com/users/shuaihuaiyi/followers",
"following_url": "https://api.github.com/users/shuaihuaiyi/following{/other_user}",
"gists_url": "https://api.github.com/users/shuaihuaiyi/gists{/gist_id}",
"starred_url": "https://api.github.com/users/shuaihuaiyi/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/shuaihuaiyi/subscriptions",
"organizations_url": "https://api.github.com/users/shuaihuaiyi/orgs",
"repos_url": "https://api.github.com/users/shuaihuaiyi/repos",
"events_url": "https://api.github.com/users/shuaihuaiyi/events{/privacy}",
"received_events_url": "https://api.github.com/users/shuaihuaiyi/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"We are very actively working on this. How does your dataset look like in practice (number/size/type of files)?",
"It's a text file with many lines (about 1B) of Chinese sentences. I use it to train language model using https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm_wwm.py",
"Indeed I will submit a PR in a fez days to enable processing on-the-fly :)\r\nThis can be useful in language modeling for tokenization, padding etc.\r\n",
"any update on this issue? ...really look forward to use it ",
"Hi @acul3,\r\n\r\nPlease look at the discussion on a related Issue #1825. I think using `set_transform` after building from source should do.",
"@gchhablani thank you so much\r\n\r\nwill try look at it"
] | 1,611,480,504,000 | 1,621,484,158,000 | 1,621,484,158,000 | NONE | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1776/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1776/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1775 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1775/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1775/comments | https://api.github.com/repos/huggingface/datasets/issues/1775/events | https://github.com/huggingface/datasets/issues/1775 | 792,742,120 | MDU6SXNzdWU3OTI3NDIxMjA= | 1,775 | Efficient ways to iterate the dataset | {
"login": "zhongpeixiang",
"id": 11826803,
"node_id": "MDQ6VXNlcjExODI2ODAz",
"avatar_url": "https://avatars.githubusercontent.com/u/11826803?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/zhongpeixiang",
"html_url": "https://github.com/zhongpeixiang",
"followers_url": "https://api.github.com/users/zhongpeixiang/followers",
"following_url": "https://api.github.com/users/zhongpeixiang/following{/other_user}",
"gists_url": "https://api.github.com/users/zhongpeixiang/gists{/gist_id}",
"starred_url": "https://api.github.com/users/zhongpeixiang/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/zhongpeixiang/subscriptions",
"organizations_url": "https://api.github.com/users/zhongpeixiang/orgs",
"repos_url": "https://api.github.com/users/zhongpeixiang/repos",
"events_url": "https://api.github.com/users/zhongpeixiang/events{/privacy}",
"received_events_url": "https://api.github.com/users/zhongpeixiang/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"It seems that selecting a subset of colums directly from the dataset, i.e., dataset[\"column\"], is slow.",
"I was wrong, ```dataset[\"column\"]``` is fast."
] | 1,611,474,871,000 | 1,611,481,839,000 | 1,611,481,839,000 | CONTRIBUTOR | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1775/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1775/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1773 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1773/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1773/comments | https://api.github.com/repos/huggingface/datasets/issues/1773/events | https://github.com/huggingface/datasets/issues/1773 | 792,708,160 | MDU6SXNzdWU3OTI3MDgxNjA= | 1,773 | bug in loading datasets | {
"login": "ghost",
"id": 10137,
"node_id": "MDQ6VXNlcjEwMTM3",
"avatar_url": "https://avatars.githubusercontent.com/u/10137?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ghost",
"html_url": "https://github.com/ghost",
"followers_url": "https://api.github.com/users/ghost/followers",
"following_url": "https://api.github.com/users/ghost/following{/other_user}",
"gists_url": "https://api.github.com/users/ghost/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ghost/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ghost/subscriptions",
"organizations_url": "https://api.github.com/users/ghost/orgs",
"repos_url": "https://api.github.com/users/ghost/repos",
"events_url": "https://api.github.com/users/ghost/events{/privacy}",
"received_events_url": "https://api.github.com/users/ghost/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Looks like an issue with your csv file. Did you use the right delimiter ?\r\nApparently at line 37 the CSV reader from pandas reads 2 fields instead of 1.",
"Note that you can pass any argument you would pass to `pandas.read_csv` as kwargs to `load_dataset`. For example you can do\r\n```python\r\nfrom datasets import load_dataset\r\ndataset = load_dataset('csv', data_files=data_files, sep=\"\\t\")\r\n```\r\n\r\nfor example to use a tab separator.\r\n\r\nYou can see the full list of arguments here: https://github.com/huggingface/datasets/blob/master/src/datasets/packaged_modules/csv/csv.py\r\n\r\n(I've not found the list in the documentation though, we definitely must add them !)",
"You can try to convert the file to (CSV UTF-8)"
] | 1,611,456,825,000 | 1,630,918,486,000 | 1,628,100,781,000 | NONE | null | 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'
```
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1773/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1773/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1772 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1772/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1772/comments | https://api.github.com/repos/huggingface/datasets/issues/1772/events | https://github.com/huggingface/datasets/issues/1772 | 792,703,797 | MDU6SXNzdWU3OTI3MDM3OTc= | 1,772 | Adding SICK dataset | {
"login": "ghost",
"id": 10137,
"node_id": "MDQ6VXNlcjEwMTM3",
"avatar_url": "https://avatars.githubusercontent.com/u/10137?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ghost",
"html_url": "https://github.com/ghost",
"followers_url": "https://api.github.com/users/ghost/followers",
"following_url": "https://api.github.com/users/ghost/following{/other_user}",
"gists_url": "https://api.github.com/users/ghost/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ghost/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ghost/subscriptions",
"organizations_url": "https://api.github.com/users/ghost/orgs",
"repos_url": "https://api.github.com/users/ghost/repos",
"events_url": "https://api.github.com/users/ghost/events{/privacy}",
"received_events_url": "https://api.github.com/users/ghost/received_events",
"type": "User",
"site_admin": false
} | [
{
"id": 2067376369,
"node_id": "MDU6TGFiZWwyMDY3Mzc2MzY5",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request",
"name": "dataset request",
"color": "e99695",
"default": false,
"description": "Requesting to add a new dataset"
}
] | closed | false | null | [] | null | [] | 1,611,454,531,000 | 1,612,540,165,000 | 1,612,540,165,000 | NONE | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1772/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1772/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1771 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1771/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1771/comments | https://api.github.com/repos/huggingface/datasets/issues/1771/events | https://github.com/huggingface/datasets/issues/1771 | 792,701,276 | MDU6SXNzdWU3OTI3MDEyNzY= | 1,771 | Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.1/datasets/csv/csv.py | {
"login": "world2vec",
"id": 7607120,
"node_id": "MDQ6VXNlcjc2MDcxMjA=",
"avatar_url": "https://avatars.githubusercontent.com/u/7607120?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/world2vec",
"html_url": "https://github.com/world2vec",
"followers_url": "https://api.github.com/users/world2vec/followers",
"following_url": "https://api.github.com/users/world2vec/following{/other_user}",
"gists_url": "https://api.github.com/users/world2vec/gists{/gist_id}",
"starred_url": "https://api.github.com/users/world2vec/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/world2vec/subscriptions",
"organizations_url": "https://api.github.com/users/world2vec/orgs",
"repos_url": "https://api.github.com/users/world2vec/repos",
"events_url": "https://api.github.com/users/world2vec/events{/privacy}",
"received_events_url": "https://api.github.com/users/world2vec/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"I temporary manually download csv.py as custom dataset loading script",
"Indeed in 1.2.1 the script to process csv file is downloaded. Starting from the next release though we include the csv processing directly in the library.\r\nSee PR #1726 \r\nWe'll do a new release soon :)",
"Thanks."
] | 1,611,453,232,000 | 1,611,529,589,000 | 1,611,529,589,000 | NONE | null | 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
``` | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1771/reactions",
"total_count": 2,
"+1": 2,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1771/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1768 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1768/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1768/comments | https://api.github.com/repos/huggingface/datasets/issues/1768/events | https://github.com/huggingface/datasets/pull/1768 | 792,150,745 | MDExOlB1bGxSZXF1ZXN0NTYwMDgyNzIx | 1,768 | Mention kwargs in the Dataset Formatting docs | {
"login": "gchhablani",
"id": 29076344,
"node_id": "MDQ6VXNlcjI5MDc2MzQ0",
"avatar_url": "https://avatars.githubusercontent.com/u/29076344?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/gchhablani",
"html_url": "https://github.com/gchhablani",
"followers_url": "https://api.github.com/users/gchhablani/followers",
"following_url": "https://api.github.com/users/gchhablani/following{/other_user}",
"gists_url": "https://api.github.com/users/gchhablani/gists{/gist_id}",
"starred_url": "https://api.github.com/users/gchhablani/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/gchhablani/subscriptions",
"organizations_url": "https://api.github.com/users/gchhablani/orgs",
"repos_url": "https://api.github.com/users/gchhablani/repos",
"events_url": "https://api.github.com/users/gchhablani/events{/privacy}",
"received_events_url": "https://api.github.com/users/gchhablani/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,333,800,000 | 1,612,096,390,000 | 1,611,566,099,000 | CONTRIBUTOR | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1768/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1768/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1768",
"html_url": "https://github.com/huggingface/datasets/pull/1768",
"diff_url": "https://github.com/huggingface/datasets/pull/1768.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1768.patch",
"merged_at": 1611566099000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1767 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1767/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1767/comments | https://api.github.com/repos/huggingface/datasets/issues/1767/events | https://github.com/huggingface/datasets/pull/1767 | 792,068,497 | MDExOlB1bGxSZXF1ZXN0NTYwMDE2MzE2 | 1,767 | Add Librispeech ASR | {
"login": "patrickvonplaten",
"id": 23423619,
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/patrickvonplaten",
"html_url": "https://github.com/patrickvonplaten",
"followers_url": "https://api.github.com/users/patrickvonplaten/followers",
"following_url": "https://api.github.com/users/patrickvonplaten/following{/other_user}",
"gists_url": "https://api.github.com/users/patrickvonplaten/gists{/gist_id}",
"starred_url": "https://api.github.com/users/patrickvonplaten/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/patrickvonplaten/subscriptions",
"organizations_url": "https://api.github.com/users/patrickvonplaten/orgs",
"repos_url": "https://api.github.com/users/patrickvonplaten/repos",
"events_url": "https://api.github.com/users/patrickvonplaten/events{/privacy}",
"received_events_url": "https://api.github.com/users/patrickvonplaten/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"> Awesome thank you !\r\n> \r\n> The dummy data are quite big but it was expected given that the raw files are flac files.\r\n> Given that the script doesn't even read the flac files I think we can remove them. Or maybe use empty flac files (see [here](https://hydrogenaud.io/index.php?topic=118685.0) for example). What do you think ?\r\n> \r\n> We'll find a better solution to be able to have bigger dummy_data (max 1MB instead of a few KB, maybe using git LFS.\r\n\r\nHmm, I already made the dummy data as small as possible (a single flac filie per split only). I'd like to keep them at least to have complete dummy data and don't think 500KB for all datasets together is a problem (the long-range summarization datasets are similarly heavy). The moment we allow dummy data to be loaded directly for testing, we need the flac files IMO.\r\n\r\nBut I agree that longterm, we need a better solution for the dummy data (maybe stop hosting it on github to not make the repo too heavy)"
] | 1,611,327,277,000 | 1,611,607,087,000 | 1,611,607,062,000 | MEMBER | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1767/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1767/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1767",
"html_url": "https://github.com/huggingface/datasets/pull/1767",
"diff_url": "https://github.com/huggingface/datasets/pull/1767.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1767.patch",
"merged_at": 1611607062000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1766 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1766/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1766/comments | https://api.github.com/repos/huggingface/datasets/issues/1766/events | https://github.com/huggingface/datasets/issues/1766 | 792,044,105 | MDU6SXNzdWU3OTIwNDQxMDU= | 1,766 | Issues when run two programs compute the same metrics | {
"login": "lamthuy",
"id": 8089862,
"node_id": "MDQ6VXNlcjgwODk4NjI=",
"avatar_url": "https://avatars.githubusercontent.com/u/8089862?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lamthuy",
"html_url": "https://github.com/lamthuy",
"followers_url": "https://api.github.com/users/lamthuy/followers",
"following_url": "https://api.github.com/users/lamthuy/following{/other_user}",
"gists_url": "https://api.github.com/users/lamthuy/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lamthuy/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lamthuy/subscriptions",
"organizations_url": "https://api.github.com/users/lamthuy/orgs",
"repos_url": "https://api.github.com/users/lamthuy/repos",
"events_url": "https://api.github.com/users/lamthuy/events{/privacy}",
"received_events_url": "https://api.github.com/users/lamthuy/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi ! To avoid collisions you can specify a `experiment_id` when instantiating your metric using `load_metric`. It will replace \"default_experiment\" with the experiment id that you provide in the arrow filename. \r\n\r\nAlso when two `experiment_id` collide we're supposed to detect it using our locking mechanism. Not sure why it didn't work in your case. Could you share some code that reproduces the issue ? This would help us investigate.",
"Thank you for your response. I fixed the issue by set \"keep_in_memory=True\" when load_metric. \r\nI cannot share the entire source code but below is the wrapper I wrote:\r\n\r\n```python\r\nclass Evaluation:\r\n def __init__(self, metric='sacrebleu'):\r\n # self.metric = load_metric(metric, keep_in_memory=True)\r\n self.metric = load_metric(metric)\r\n\r\n def add(self, predictions, references):\r\n self.metric.add_batch(predictions=predictions, references=references)\r\n\r\n def compute(self):\r\n return self.metric.compute()['score']\r\n```\r\n\r\nThen call the given wrapper as follows:\r\n\r\n```python\r\neval = Evaluation(metric='sacrebleu')\r\nfor query, candidates, labels in tqdm(dataset):\r\n predictions = net.generate(query)\r\n references = [[s] for s in labels]\r\n eval.add(predictions, references)\r\n if n % 100 == 0:\r\n bleu += eval.compute()\r\n eval = Evaluation(metric='sacrebleu')"
] | 1,611,325,375,000 | 1,612,262,286,000 | 1,612,262,286,000 | NONE | null | 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
``` | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1766/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1766/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1765 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1765/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1765/comments | https://api.github.com/repos/huggingface/datasets/issues/1765/events | https://github.com/huggingface/datasets/issues/1765 | 791,553,065 | MDU6SXNzdWU3OTE1NTMwNjU= | 1,765 | Error iterating over Dataset with DataLoader | {
"login": "EvanZ",
"id": 1295082,
"node_id": "MDQ6VXNlcjEyOTUwODI=",
"avatar_url": "https://avatars.githubusercontent.com/u/1295082?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/EvanZ",
"html_url": "https://github.com/EvanZ",
"followers_url": "https://api.github.com/users/EvanZ/followers",
"following_url": "https://api.github.com/users/EvanZ/following{/other_user}",
"gists_url": "https://api.github.com/users/EvanZ/gists{/gist_id}",
"starred_url": "https://api.github.com/users/EvanZ/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/EvanZ/subscriptions",
"organizations_url": "https://api.github.com/users/EvanZ/orgs",
"repos_url": "https://api.github.com/users/EvanZ/repos",
"events_url": "https://api.github.com/users/EvanZ/events{/privacy}",
"received_events_url": "https://api.github.com/users/EvanZ/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Instead of:\r\n```python\r\ndataloader = torch.utils.data.DataLoader(encoded_dataset, batch_sampler=32)\r\n```\r\nIt should be:\r\n```python\r\ndataloader = torch.utils.data.DataLoader(encoded_dataset, batch_size=32)\r\n```\r\n\r\n`batch_sampler` accepts a Sampler object or an Iterable, so you get an error.",
"@mariosasko I thought that would fix it, but now I'm getting a different error:\r\n\r\n```\r\n/usr/local/lib/python3.6/dist-packages/datasets/arrow_dataset.py:851: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:141.)\r\n return torch.tensor(x, **format_kwargs)\r\n---------------------------------------------------------------------------\r\nRuntimeError Traceback (most recent call last)\r\n<ipython-input-20-3af1d82bf93a> in <module>()\r\n 1 dataloader = torch.utils.data.DataLoader(encoded_dataset, batch_size=32)\r\n----> 2 next(iter(dataloader))\r\n\r\n5 frames\r\n/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/collate.py in default_collate(batch)\r\n 53 storage = elem.storage()._new_shared(numel)\r\n 54 out = elem.new(storage)\r\n---> 55 return torch.stack(batch, 0, out=out)\r\n 56 elif elem_type.__module__ == 'numpy' and elem_type.__name__ != 'str_' \\\r\n 57 and elem_type.__name__ != 'string_':\r\n\r\nRuntimeError: stack expects each tensor to be equal size, but got [7] at entry 0 and [10] at entry 1\r\n```\r\n\r\nAny thoughts what this means?I Do I need padding?",
"Yes, padding is an answer. \r\n\r\nThis can be solved easily by passing a callable to the collate_fn arg of DataLoader that adds padding. ",
"Padding was the fix, thanks!",
"dataloader = torch.utils.data.DataLoader(encoded_dataset, batch_size=4)\r\nbatch = next(iter(dataloader))\r\n\r\ngetting \r\nValueError: cannot reshape array of size 8192 into shape (1,512,4)\r\n\r\nI had put padding as 2048 for encoded_dataset\r\nkindly help"
] | 1,611,269,805,000 | 1,611,400,941,000 | 1,611,373,454,000 | NONE | null | 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
``` | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1765/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1765/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1764 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1764/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1764/comments | https://api.github.com/repos/huggingface/datasets/issues/1764/events | https://github.com/huggingface/datasets/issues/1764 | 791,486,860 | MDU6SXNzdWU3OTE0ODY4NjA= | 1,764 | Connection Issues | {
"login": "SaeedNajafi",
"id": 12455298,
"node_id": "MDQ6VXNlcjEyNDU1Mjk4",
"avatar_url": "https://avatars.githubusercontent.com/u/12455298?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/SaeedNajafi",
"html_url": "https://github.com/SaeedNajafi",
"followers_url": "https://api.github.com/users/SaeedNajafi/followers",
"following_url": "https://api.github.com/users/SaeedNajafi/following{/other_user}",
"gists_url": "https://api.github.com/users/SaeedNajafi/gists{/gist_id}",
"starred_url": "https://api.github.com/users/SaeedNajafi/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/SaeedNajafi/subscriptions",
"organizations_url": "https://api.github.com/users/SaeedNajafi/orgs",
"repos_url": "https://api.github.com/users/SaeedNajafi/repos",
"events_url": "https://api.github.com/users/SaeedNajafi/events{/privacy}",
"received_events_url": "https://api.github.com/users/SaeedNajafi/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Academic WIFI was blocking."
] | 1,611,262,569,000 | 1,611,262,819,000 | 1,611,262,802,000 | NONE | null | 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
``` | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1764/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1764/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1763 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1763/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1763/comments | https://api.github.com/repos/huggingface/datasets/issues/1763/events | https://github.com/huggingface/datasets/pull/1763 | 791,389,763 | MDExOlB1bGxSZXF1ZXN0NTU5NDU3MTY1 | 1,763 | PAWS-X: Fix csv Dictreader splitting data on quotes | {
"login": "gowtham1997",
"id": 9641196,
"node_id": "MDQ6VXNlcjk2NDExOTY=",
"avatar_url": "https://avatars.githubusercontent.com/u/9641196?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/gowtham1997",
"html_url": "https://github.com/gowtham1997",
"followers_url": "https://api.github.com/users/gowtham1997/followers",
"following_url": "https://api.github.com/users/gowtham1997/following{/other_user}",
"gists_url": "https://api.github.com/users/gowtham1997/gists{/gist_id}",
"starred_url": "https://api.github.com/users/gowtham1997/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/gowtham1997/subscriptions",
"organizations_url": "https://api.github.com/users/gowtham1997/orgs",
"repos_url": "https://api.github.com/users/gowtham1997/repos",
"events_url": "https://api.github.com/users/gowtham1997/events{/privacy}",
"received_events_url": "https://api.github.com/users/gowtham1997/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,253,261,000 | 1,611,310,473,000 | 1,611,310,425,000 | CONTRIBUTOR | null |
```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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1763/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1763/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1763",
"html_url": "https://github.com/huggingface/datasets/pull/1763",
"diff_url": "https://github.com/huggingface/datasets/pull/1763.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1763.patch",
"merged_at": 1611310425000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1762 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1762/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1762/comments | https://api.github.com/repos/huggingface/datasets/issues/1762/events | https://github.com/huggingface/datasets/issues/1762 | 791,226,007 | MDU6SXNzdWU3OTEyMjYwMDc= | 1,762 | Unable to format dataset to CUDA Tensors | {
"login": "gchhablani",
"id": 29076344,
"node_id": "MDQ6VXNlcjI5MDc2MzQ0",
"avatar_url": "https://avatars.githubusercontent.com/u/29076344?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/gchhablani",
"html_url": "https://github.com/gchhablani",
"followers_url": "https://api.github.com/users/gchhablani/followers",
"following_url": "https://api.github.com/users/gchhablani/following{/other_user}",
"gists_url": "https://api.github.com/users/gchhablani/gists{/gist_id}",
"starred_url": "https://api.github.com/users/gchhablani/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/gchhablani/subscriptions",
"organizations_url": "https://api.github.com/users/gchhablani/orgs",
"repos_url": "https://api.github.com/users/gchhablani/repos",
"events_url": "https://api.github.com/users/gchhablani/events{/privacy}",
"received_events_url": "https://api.github.com/users/gchhablani/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi ! You can get CUDA tensors with\r\n\r\n```python\r\ndataset.set_format(\"torch\", columns=columns, device=\"cuda\")\r\n```\r\n\r\nIndeed `set_format` passes the `**kwargs` to `torch.tensor`",
"Hi @lhoestq,\r\n\r\nThanks a lot. Is this true for all format types?\r\n\r\nAs in, for 'torch', I can have `**kwargs` to `torch.tensor` and for 'tf' those args are passed to `tf.Tensor`, and the same for 'numpy' and 'pandas'?",
"Yes the keywords arguments are passed to the convert function like `np.array`, `torch.tensor` or `tensorflow.ragged.constant`.\r\nWe don't support the kwargs for pandas on the other hand.",
"Thanks @lhoestq,\r\nWould it be okay if I added this to the docs and made a PR?",
"Sure ! Feel free to open a PR to improve the documentation :) ",
"Closing this issue as it has been resolved."
] | 1,611,243,083,000 | 1,612,250,002,000 | 1,612,250,002,000 | CONTRIBUTOR | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1762/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1762/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1761 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1761/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1761/comments | https://api.github.com/repos/huggingface/datasets/issues/1761/events | https://github.com/huggingface/datasets/pull/1761 | 791,150,858 | MDExOlB1bGxSZXF1ZXN0NTU5MjUyMzEw | 1,761 | Add SILICONE benchmark | {
"login": "eusip",
"id": 1551356,
"node_id": "MDQ6VXNlcjE1NTEzNTY=",
"avatar_url": "https://avatars.githubusercontent.com/u/1551356?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/eusip",
"html_url": "https://github.com/eusip",
"followers_url": "https://api.github.com/users/eusip/followers",
"following_url": "https://api.github.com/users/eusip/following{/other_user}",
"gists_url": "https://api.github.com/users/eusip/gists{/gist_id}",
"starred_url": "https://api.github.com/users/eusip/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/eusip/subscriptions",
"organizations_url": "https://api.github.com/users/eusip/orgs",
"repos_url": "https://api.github.com/users/eusip/repos",
"events_url": "https://api.github.com/users/eusip/events{/privacy}",
"received_events_url": "https://api.github.com/users/eusip/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Thanks for the feedback. All your comments have been addressed!",
"Thank you for your constructive feedback! I now know how to best format future datasets that our team plans to publish in the near future :)",
"Awesome ! Looking forward to it :) ",
"Hi @lhoestq ! One last question. Our research team would like to distribute a link to this dataset amongst the spoken dialogue research community but the dataset does not show in the dropdown menu at huggingface.co. Is there anything else we must do in order to find the dataset there ?\r\n\r\nOnce the dataset does show in the dropdown menu, how can I affiliate it with the Telecom Paris organization that I already created at the website ?",
"The files are not located in the right place in the repo. Let me move them",
"I created a PR at https://github.com/huggingface/datasets/pull/1794",
"I just merged the change @eusip, now the dataset page is available at the url:\r\nhttps://huggingface.co/datasets/silicone",
"Thank you for moving the folder for me :)"
] | 1,611,239,352,000 | 1,612,449,168,000 | 1,611,669,031,000 | CONTRIBUTOR | null | 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.
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1761/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1761/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1761",
"html_url": "https://github.com/huggingface/datasets/pull/1761",
"diff_url": "https://github.com/huggingface/datasets/pull/1761.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1761.patch",
"merged_at": 1611669031000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1760 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1760/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1760/comments | https://api.github.com/repos/huggingface/datasets/issues/1760/events | https://github.com/huggingface/datasets/pull/1760 | 791,110,857 | MDExOlB1bGxSZXF1ZXN0NTU5MjE3MjY0 | 1,760 | More tags | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Conll has `multilingual` but is only tagged as `en`",
"good catch, that was a bad copy paste x)"
] | 1,611,237,010,000 | 1,611,308,401,000 | 1,611,308,400,000 | MEMBER | null | 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) | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1760/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1760/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1760",
"html_url": "https://github.com/huggingface/datasets/pull/1760",
"diff_url": "https://github.com/huggingface/datasets/pull/1760.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1760.patch",
"merged_at": 1611308400000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1759 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1759/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1759/comments | https://api.github.com/repos/huggingface/datasets/issues/1759/events | https://github.com/huggingface/datasets/issues/1759 | 790,992,226 | MDU6SXNzdWU3OTA5OTIyMjY= | 1,759 | wikipedia dataset incomplete | {
"login": "ChrisChross",
"id": 19912393,
"node_id": "MDQ6VXNlcjE5OTEyMzkz",
"avatar_url": "https://avatars.githubusercontent.com/u/19912393?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ChrisChross",
"html_url": "https://github.com/ChrisChross",
"followers_url": "https://api.github.com/users/ChrisChross/followers",
"following_url": "https://api.github.com/users/ChrisChross/following{/other_user}",
"gists_url": "https://api.github.com/users/ChrisChross/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ChrisChross/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ChrisChross/subscriptions",
"organizations_url": "https://api.github.com/users/ChrisChross/orgs",
"repos_url": "https://api.github.com/users/ChrisChross/repos",
"events_url": "https://api.github.com/users/ChrisChross/events{/privacy}",
"received_events_url": "https://api.github.com/users/ChrisChross/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi !\r\nFrom what pickle file fo you get this ?\r\nI guess you mean the dataset loaded using `load_dataset` ?",
"yes sorry, I used the `load_dataset`function and saved the data to a pickle file so I don't always have to reload it and are able to work offline. ",
"The wikipedia articles are processed using the `mwparserfromhell` library. Even if it works well in most cases, such issues can happen unfortunately. You can find the repo here: https://github.com/earwig/mwparserfromhell\r\n\r\nThere also exist other datasets based on wikipedia that were processed differently (and are often cleaner) such as `wiki40b`.\r\n\r\n",
"ok great. Thank you, @lhoestq. "
] | 1,611,229,635,000 | 1,611,249,731,000 | 1,611,249,666,000 | NONE | null | 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
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1759/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1759/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1758 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1758/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1758/comments | https://api.github.com/repos/huggingface/datasets/issues/1758/events | https://github.com/huggingface/datasets/issues/1758 | 790,626,116 | MDU6SXNzdWU3OTA2MjYxMTY= | 1,758 | dataset.search() (elastic) cannot reliably retrieve search results | {
"login": "afogarty85",
"id": 49048309,
"node_id": "MDQ6VXNlcjQ5MDQ4MzA5",
"avatar_url": "https://avatars.githubusercontent.com/u/49048309?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/afogarty85",
"html_url": "https://github.com/afogarty85",
"followers_url": "https://api.github.com/users/afogarty85/followers",
"following_url": "https://api.github.com/users/afogarty85/following{/other_user}",
"gists_url": "https://api.github.com/users/afogarty85/gists{/gist_id}",
"starred_url": "https://api.github.com/users/afogarty85/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/afogarty85/subscriptions",
"organizations_url": "https://api.github.com/users/afogarty85/orgs",
"repos_url": "https://api.github.com/users/afogarty85/repos",
"events_url": "https://api.github.com/users/afogarty85/events{/privacy}",
"received_events_url": "https://api.github.com/users/afogarty85/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi !\r\nI tried your code on my side and I was able to workaround this issue by waiting a few seconds before querying the index.\r\nMaybe this is because the index is not updated yet on the ElasticSearch side ?",
"Thanks for the feedback! I added a 30 second \"sleep\" and that seemed to work well!"
] | 1,611,195,997,000 | 1,611,275,150,000 | 1,611,275,150,000 | NONE | null | 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
```
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1758/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1758/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1757 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1757/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1757/comments | https://api.github.com/repos/huggingface/datasets/issues/1757/events | https://github.com/huggingface/datasets/issues/1757 | 790,466,509 | MDU6SXNzdWU3OTA0NjY1MDk= | 1,757 | FewRel | {
"login": "dspoka",
"id": 6183050,
"node_id": "MDQ6VXNlcjYxODMwNTA=",
"avatar_url": "https://avatars.githubusercontent.com/u/6183050?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/dspoka",
"html_url": "https://github.com/dspoka",
"followers_url": "https://api.github.com/users/dspoka/followers",
"following_url": "https://api.github.com/users/dspoka/following{/other_user}",
"gists_url": "https://api.github.com/users/dspoka/gists{/gist_id}",
"starred_url": "https://api.github.com/users/dspoka/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/dspoka/subscriptions",
"organizations_url": "https://api.github.com/users/dspoka/orgs",
"repos_url": "https://api.github.com/users/dspoka/repos",
"events_url": "https://api.github.com/users/dspoka/events{/privacy}",
"received_events_url": "https://api.github.com/users/dspoka/received_events",
"type": "User",
"site_admin": false
} | [
{
"id": 2067376369,
"node_id": "MDU6TGFiZWwyMDY3Mzc2MzY5",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request",
"name": "dataset request",
"color": "e99695",
"default": false,
"description": "Requesting to add a new dataset"
}
] | closed | false | null | [] | null | [
"+1",
"@dspoka Please check the following link : https://github.com/thunlp/FewRel\r\nThis link mentions two versions of the datasets. Also, this one seems to be the official link.\r\n\r\nI am assuming this is the correct link and implementing based on the same.",
"Hi @lhoestq,\r\n\r\nThis issue can be closed, I guess.",
"Yes :) closing\r\nThanks again for adding FewRel !",
"Thanks for adding this @gchhablani ! Sorry didn't see the email notifications sooner!"
] | 1,611,186,963,000 | 1,615,258,325,000 | 1,615,214,092,000 | NONE | null | ## 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).
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1757/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1757/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1756 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1756/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1756/comments | https://api.github.com/repos/huggingface/datasets/issues/1756/events | https://github.com/huggingface/datasets/issues/1756 | 790,380,028 | MDU6SXNzdWU3OTAzODAwMjg= | 1,756 | Ccaligned multilingual translation dataset | {
"login": "flozi00",
"id": 47894090,
"node_id": "MDQ6VXNlcjQ3ODk0MDkw",
"avatar_url": "https://avatars.githubusercontent.com/u/47894090?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/flozi00",
"html_url": "https://github.com/flozi00",
"followers_url": "https://api.github.com/users/flozi00/followers",
"following_url": "https://api.github.com/users/flozi00/following{/other_user}",
"gists_url": "https://api.github.com/users/flozi00/gists{/gist_id}",
"starred_url": "https://api.github.com/users/flozi00/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/flozi00/subscriptions",
"organizations_url": "https://api.github.com/users/flozi00/orgs",
"repos_url": "https://api.github.com/users/flozi00/repos",
"events_url": "https://api.github.com/users/flozi00/events{/privacy}",
"received_events_url": "https://api.github.com/users/flozi00/received_events",
"type": "User",
"site_admin": false
} | [
{
"id": 2067376369,
"node_id": "MDU6TGFiZWwyMDY3Mzc2MzY5",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request",
"name": "dataset request",
"color": "e99695",
"default": false,
"description": "Requesting to add a new dataset"
}
] | closed | false | null | [] | null | [] | 1,611,181,124,000 | 1,614,594,981,000 | 1,614,594,981,000 | NONE | null | ## 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).
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1756/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1756/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1755 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1755/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1755/comments | https://api.github.com/repos/huggingface/datasets/issues/1755/events | https://github.com/huggingface/datasets/issues/1755 | 790,324,734 | MDU6SXNzdWU3OTAzMjQ3MzQ= | 1,755 | Using select/reordering datasets slows operations down immensely | {
"login": "afogarty85",
"id": 49048309,
"node_id": "MDQ6VXNlcjQ5MDQ4MzA5",
"avatar_url": "https://avatars.githubusercontent.com/u/49048309?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/afogarty85",
"html_url": "https://github.com/afogarty85",
"followers_url": "https://api.github.com/users/afogarty85/followers",
"following_url": "https://api.github.com/users/afogarty85/following{/other_user}",
"gists_url": "https://api.github.com/users/afogarty85/gists{/gist_id}",
"starred_url": "https://api.github.com/users/afogarty85/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/afogarty85/subscriptions",
"organizations_url": "https://api.github.com/users/afogarty85/orgs",
"repos_url": "https://api.github.com/users/afogarty85/repos",
"events_url": "https://api.github.com/users/afogarty85/events{/privacy}",
"received_events_url": "https://api.github.com/users/afogarty85/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"You can use `Dataset.flatten_indices()` to make it fast after a select or shuffle.",
"Thanks for the input! I gave that a try by adding this after my selection / reordering operations, but before the big computation task of `score_squad`\r\n\r\n```\r\nexamples = examples.flatten_indices()\r\nfeatures = features.flatten_indices()\r\n```\r\n\r\nThat helped quite a bit!"
] | 1,611,177,132,000 | 1,611,180,219,000 | 1,611,180,219,000 | NONE | null | 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)
```
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1755/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1755/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1754 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1754/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1754/comments | https://api.github.com/repos/huggingface/datasets/issues/1754/events | https://github.com/huggingface/datasets/pull/1754 | 789,881,730 | MDExOlB1bGxSZXF1ZXN0NTU4MTU5NjEw | 1,754 | Use a config id in the cache directory names for custom configs | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,141,060,000 | 1,611,565,927,000 | 1,611,565,926,000 | MEMBER | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1754/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1754/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1754",
"html_url": "https://github.com/huggingface/datasets/pull/1754",
"diff_url": "https://github.com/huggingface/datasets/pull/1754.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1754.patch",
"merged_at": 1611565926000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1753 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1753/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1753/comments | https://api.github.com/repos/huggingface/datasets/issues/1753/events | https://github.com/huggingface/datasets/pull/1753 | 789,867,685 | MDExOlB1bGxSZXF1ZXN0NTU4MTQ3Njkx | 1,753 | fix comet citations | {
"login": "ricardorei",
"id": 17256847,
"node_id": "MDQ6VXNlcjE3MjU2ODQ3",
"avatar_url": "https://avatars.githubusercontent.com/u/17256847?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ricardorei",
"html_url": "https://github.com/ricardorei",
"followers_url": "https://api.github.com/users/ricardorei/followers",
"following_url": "https://api.github.com/users/ricardorei/following{/other_user}",
"gists_url": "https://api.github.com/users/ricardorei/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ricardorei/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ricardorei/subscriptions",
"organizations_url": "https://api.github.com/users/ricardorei/orgs",
"repos_url": "https://api.github.com/users/ricardorei/repos",
"events_url": "https://api.github.com/users/ricardorei/events{/privacy}",
"received_events_url": "https://api.github.com/users/ricardorei/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,139,958,000 | 1,611,153,570,000 | 1,611,153,570,000 | CONTRIBUTOR | null | 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! | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1753/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1753/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1753",
"html_url": "https://github.com/huggingface/datasets/pull/1753",
"diff_url": "https://github.com/huggingface/datasets/pull/1753.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1753.patch",
"merged_at": 1611153570000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1752 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1752/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1752/comments | https://api.github.com/repos/huggingface/datasets/issues/1752/events | https://github.com/huggingface/datasets/pull/1752 | 789,822,459 | MDExOlB1bGxSZXF1ZXN0NTU4MTA5NTA5 | 1,752 | COMET metric citation | {
"login": "ricardorei",
"id": 17256847,
"node_id": "MDQ6VXNlcjE3MjU2ODQ3",
"avatar_url": "https://avatars.githubusercontent.com/u/17256847?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ricardorei",
"html_url": "https://github.com/ricardorei",
"followers_url": "https://api.github.com/users/ricardorei/followers",
"following_url": "https://api.github.com/users/ricardorei/following{/other_user}",
"gists_url": "https://api.github.com/users/ricardorei/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ricardorei/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ricardorei/subscriptions",
"organizations_url": "https://api.github.com/users/ricardorei/orgs",
"repos_url": "https://api.github.com/users/ricardorei/repos",
"events_url": "https://api.github.com/users/ricardorei/events{/privacy}",
"received_events_url": "https://api.github.com/users/ricardorei/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"I think its better to create a new branch with this fix. I forgot I was still using the old branch."
] | 1,611,136,483,000 | 1,611,138,427,000 | 1,611,138,302,000 | CONTRIBUTOR | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1752/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1752/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1752",
"html_url": "https://github.com/huggingface/datasets/pull/1752",
"diff_url": "https://github.com/huggingface/datasets/pull/1752.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1752.patch",
"merged_at": null
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1751 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1751/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1751/comments | https://api.github.com/repos/huggingface/datasets/issues/1751/events | https://github.com/huggingface/datasets/pull/1751 | 789,232,980 | MDExOlB1bGxSZXF1ZXN0NTU3NjA1ODE2 | 1,751 | Updated README for the Social Bias Frames dataset | {
"login": "mcmillanmajora",
"id": 26722925,
"node_id": "MDQ6VXNlcjI2NzIyOTI1",
"avatar_url": "https://avatars.githubusercontent.com/u/26722925?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mcmillanmajora",
"html_url": "https://github.com/mcmillanmajora",
"followers_url": "https://api.github.com/users/mcmillanmajora/followers",
"following_url": "https://api.github.com/users/mcmillanmajora/following{/other_user}",
"gists_url": "https://api.github.com/users/mcmillanmajora/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mcmillanmajora/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mcmillanmajora/subscriptions",
"organizations_url": "https://api.github.com/users/mcmillanmajora/orgs",
"repos_url": "https://api.github.com/users/mcmillanmajora/repos",
"events_url": "https://api.github.com/users/mcmillanmajora/events{/privacy}",
"received_events_url": "https://api.github.com/users/mcmillanmajora/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,611,078,780,000 | 1,611,154,612,000 | 1,611,154,612,000 | CONTRIBUTOR | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1751/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1751/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1751",
"html_url": "https://github.com/huggingface/datasets/pull/1751",
"diff_url": "https://github.com/huggingface/datasets/pull/1751.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1751.patch",
"merged_at": 1611154612000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1750 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1750/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1750/comments | https://api.github.com/repos/huggingface/datasets/issues/1750/events | https://github.com/huggingface/datasets/pull/1750 | 788,668,085 | MDExOlB1bGxSZXF1ZXN0NTU3MTM1MzM1 | 1,750 | Fix typo in README.md of cnn_dailymail | {
"login": "forest1988",
"id": 2755894,
"node_id": "MDQ6VXNlcjI3NTU4OTQ=",
"avatar_url": "https://avatars.githubusercontent.com/u/2755894?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/forest1988",
"html_url": "https://github.com/forest1988",
"followers_url": "https://api.github.com/users/forest1988/followers",
"following_url": "https://api.github.com/users/forest1988/following{/other_user}",
"gists_url": "https://api.github.com/users/forest1988/gists{/gist_id}",
"starred_url": "https://api.github.com/users/forest1988/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/forest1988/subscriptions",
"organizations_url": "https://api.github.com/users/forest1988/orgs",
"repos_url": "https://api.github.com/users/forest1988/repos",
"events_url": "https://api.github.com/users/forest1988/events{/privacy}",
"received_events_url": "https://api.github.com/users/forest1988/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Good catch, thanks!",
"Thank you for merging!"
] | 1,611,025,565,000 | 1,611,054,449,000 | 1,611,049,723,000 | CONTRIBUTOR | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1750/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1750/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1750",
"html_url": "https://github.com/huggingface/datasets/pull/1750",
"diff_url": "https://github.com/huggingface/datasets/pull/1750.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1750.patch",
"merged_at": 1611049723000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1749 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1749/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1749/comments | https://api.github.com/repos/huggingface/datasets/issues/1749/events | https://github.com/huggingface/datasets/pull/1749 | 788,476,639 | MDExOlB1bGxSZXF1ZXN0NTU2OTgxMDc5 | 1,749 | Added metadata and correct splits for swda. | {
"login": "gmihaila",
"id": 22454783,
"node_id": "MDQ6VXNlcjIyNDU0Nzgz",
"avatar_url": "https://avatars.githubusercontent.com/u/22454783?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/gmihaila",
"html_url": "https://github.com/gmihaila",
"followers_url": "https://api.github.com/users/gmihaila/followers",
"following_url": "https://api.github.com/users/gmihaila/following{/other_user}",
"gists_url": "https://api.github.com/users/gmihaila/gists{/gist_id}",
"starred_url": "https://api.github.com/users/gmihaila/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/gmihaila/subscriptions",
"organizations_url": "https://api.github.com/users/gmihaila/orgs",
"repos_url": "https://api.github.com/users/gmihaila/repos",
"events_url": "https://api.github.com/users/gmihaila/events{/privacy}",
"received_events_url": "https://api.github.com/users/gmihaila/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"I will push updates tomorrow.",
"@lhoestq thank you for your comments! I went ahead and fixed the code 😃. Please let me know if I missed anything."
] | 1,610,994,992,000 | 1,611,948,952,000 | 1,611,945,488,000 | CONTRIBUTOR | null | 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). | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1749/reactions",
"total_count": 2,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 2,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1749/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1749",
"html_url": "https://github.com/huggingface/datasets/pull/1749",
"diff_url": "https://github.com/huggingface/datasets/pull/1749.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1749.patch",
"merged_at": 1611945488000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1748 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1748/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1748/comments | https://api.github.com/repos/huggingface/datasets/issues/1748/events | https://github.com/huggingface/datasets/pull/1748 | 788,431,642 | MDExOlB1bGxSZXF1ZXN0NTU2OTQ0NDEx | 1,748 | add Stuctured Argument Extraction for Korean dataset | {
"login": "stevhliu",
"id": 59462357,
"node_id": "MDQ6VXNlcjU5NDYyMzU3",
"avatar_url": "https://avatars.githubusercontent.com/u/59462357?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/stevhliu",
"html_url": "https://github.com/stevhliu",
"followers_url": "https://api.github.com/users/stevhliu/followers",
"following_url": "https://api.github.com/users/stevhliu/following{/other_user}",
"gists_url": "https://api.github.com/users/stevhliu/gists{/gist_id}",
"starred_url": "https://api.github.com/users/stevhliu/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/stevhliu/subscriptions",
"organizations_url": "https://api.github.com/users/stevhliu/orgs",
"repos_url": "https://api.github.com/users/stevhliu/repos",
"events_url": "https://api.github.com/users/stevhliu/events{/privacy}",
"received_events_url": "https://api.github.com/users/stevhliu/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,990,059,000 | 1,631,897,598,000 | 1,611,055,618,000 | CONTRIBUTOR | null | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1748/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1748/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1748",
"html_url": "https://github.com/huggingface/datasets/pull/1748",
"diff_url": "https://github.com/huggingface/datasets/pull/1748.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1748.patch",
"merged_at": 1611055618000
} | true |
|
https://api.github.com/repos/huggingface/datasets/issues/1746 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1746/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1746/comments | https://api.github.com/repos/huggingface/datasets/issues/1746/events | https://github.com/huggingface/datasets/pull/1746 | 788,188,184 | MDExOlB1bGxSZXF1ZXN0NTU2NzQxMjIw | 1,746 | Fix release conda worflow | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,969,350,000 | 1,610,969,484,000 | 1,610,969,483,000 | MEMBER | null | The current workflow yaml file is not valid according to https://github.com/huggingface/datasets/actions/runs/487638110 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1746/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1746/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1746",
"html_url": "https://github.com/huggingface/datasets/pull/1746",
"diff_url": "https://github.com/huggingface/datasets/pull/1746.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1746.patch",
"merged_at": 1610969483000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1745 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1745/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1745/comments | https://api.github.com/repos/huggingface/datasets/issues/1745/events | https://github.com/huggingface/datasets/issues/1745 | 787,838,256 | MDU6SXNzdWU3ODc4MzgyNTY= | 1,745 | difference between wsc and wsc.fixed for superglue | {
"login": "ghost",
"id": 10137,
"node_id": "MDQ6VXNlcjEwMTM3",
"avatar_url": "https://avatars.githubusercontent.com/u/10137?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ghost",
"html_url": "https://github.com/ghost",
"followers_url": "https://api.github.com/users/ghost/followers",
"following_url": "https://api.github.com/users/ghost/following{/other_user}",
"gists_url": "https://api.github.com/users/ghost/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ghost/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ghost/subscriptions",
"organizations_url": "https://api.github.com/users/ghost/orgs",
"repos_url": "https://api.github.com/users/ghost/repos",
"events_url": "https://api.github.com/users/ghost/events{/privacy}",
"received_events_url": "https://api.github.com/users/ghost/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"From the description given in the dataset script for `wsc.fixed`:\r\n```\r\nThis version fixes issues where the spans are not actually substrings of the text.\r\n```"
] | 1,610,931,019,000 | 1,610,967,763,000 | 1,610,931,574,000 | NONE | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1745/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1745/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1744 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1744/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1744/comments | https://api.github.com/repos/huggingface/datasets/issues/1744/events | https://github.com/huggingface/datasets/pull/1744 | 787,649,811 | MDExOlB1bGxSZXF1ZXN0NTU2MzA0MjU4 | 1,744 | Add missing "brief" entries to reuters | {
"login": "jbragg",
"id": 2238344,
"node_id": "MDQ6VXNlcjIyMzgzNDQ=",
"avatar_url": "https://avatars.githubusercontent.com/u/2238344?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/jbragg",
"html_url": "https://github.com/jbragg",
"followers_url": "https://api.github.com/users/jbragg/followers",
"following_url": "https://api.github.com/users/jbragg/following{/other_user}",
"gists_url": "https://api.github.com/users/jbragg/gists{/gist_id}",
"starred_url": "https://api.github.com/users/jbragg/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jbragg/subscriptions",
"organizations_url": "https://api.github.com/users/jbragg/orgs",
"repos_url": "https://api.github.com/users/jbragg/repos",
"events_url": "https://api.github.com/users/jbragg/events{/privacy}",
"received_events_url": "https://api.github.com/users/jbragg/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"@lhoestq I ran `make style` but CI code quality still failing and I don't have access to logs",
"It's also likely that due to the previous placement of the field initialization, much of the data about topics etc was simply wrong and carried over from previous entries. Model scores seem to improve significantly with this PR."
] | 1,610,870,329,000 | 1,610,969,169,000 | 1,610,969,169,000 | CONTRIBUTOR | null | This brings the number of examples for ModApte to match the stated `Training set (9,603 docs)...Test Set (3,299 docs)` | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1744/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1744/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1744",
"html_url": "https://github.com/huggingface/datasets/pull/1744",
"diff_url": "https://github.com/huggingface/datasets/pull/1744.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1744.patch",
"merged_at": 1610969169000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1742 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1742/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1742/comments | https://api.github.com/repos/huggingface/datasets/issues/1742/events | https://github.com/huggingface/datasets/pull/1742 | 787,623,640 | MDExOlB1bGxSZXF1ZXN0NTU2MjgyMDYw | 1,742 | Add GLUE Compat (compatible with transformers<3.5.0) | {
"login": "JetRunner",
"id": 22514219,
"node_id": "MDQ6VXNlcjIyNTE0MjE5",
"avatar_url": "https://avatars.githubusercontent.com/u/22514219?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/JetRunner",
"html_url": "https://github.com/JetRunner",
"followers_url": "https://api.github.com/users/JetRunner/followers",
"following_url": "https://api.github.com/users/JetRunner/following{/other_user}",
"gists_url": "https://api.github.com/users/JetRunner/gists{/gist_id}",
"starred_url": "https://api.github.com/users/JetRunner/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/JetRunner/subscriptions",
"organizations_url": "https://api.github.com/users/JetRunner/orgs",
"repos_url": "https://api.github.com/users/JetRunner/repos",
"events_url": "https://api.github.com/users/JetRunner/events{/privacy}",
"received_events_url": "https://api.github.com/users/JetRunner/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Maybe it would be simpler to just overwrite the order of the label classes of the `glue` dataset ?\r\n```python\r\nmnli = load_dataset(\"glue\", \"mnli\", label_classes=[\"contradiction\", \"entailment\", \"neutral\"])\r\n```",
"Sounds good. Will close the issue if that works."
] | 1,610,862,865,000 | 1,617,021,810,000 | 1,617,021,810,000 | MEMBER | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1742/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1742/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1742",
"html_url": "https://github.com/huggingface/datasets/pull/1742",
"diff_url": "https://github.com/huggingface/datasets/pull/1742.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1742.patch",
"merged_at": null
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1741 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1741/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1741/comments | https://api.github.com/repos/huggingface/datasets/issues/1741/events | https://github.com/huggingface/datasets/issues/1741 | 787,327,060 | MDU6SXNzdWU3ODczMjcwNjA= | 1,741 | error when run fine_tuning on text_classification | {
"login": "XiaoYang66",
"id": 43234824,
"node_id": "MDQ6VXNlcjQzMjM0ODI0",
"avatar_url": "https://avatars.githubusercontent.com/u/43234824?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/XiaoYang66",
"html_url": "https://github.com/XiaoYang66",
"followers_url": "https://api.github.com/users/XiaoYang66/followers",
"following_url": "https://api.github.com/users/XiaoYang66/following{/other_user}",
"gists_url": "https://api.github.com/users/XiaoYang66/gists{/gist_id}",
"starred_url": "https://api.github.com/users/XiaoYang66/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/XiaoYang66/subscriptions",
"organizations_url": "https://api.github.com/users/XiaoYang66/orgs",
"repos_url": "https://api.github.com/users/XiaoYang66/repos",
"events_url": "https://api.github.com/users/XiaoYang66/events{/privacy}",
"received_events_url": "https://api.github.com/users/XiaoYang66/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"none"
] | 1,610,763,799,000 | 1,610,764,768,000 | 1,610,764,758,000 | NONE | null | 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()
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1741/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1741/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1740 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1740/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1740/comments | https://api.github.com/repos/huggingface/datasets/issues/1740/events | https://github.com/huggingface/datasets/pull/1740 | 787,264,605 | MDExOlB1bGxSZXF1ZXN0NTU2MDA5NjM1 | 1,740 | add id_liputan6 dataset | {
"login": "cahya-wirawan",
"id": 7669893,
"node_id": "MDQ6VXNlcjc2Njk4OTM=",
"avatar_url": "https://avatars.githubusercontent.com/u/7669893?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/cahya-wirawan",
"html_url": "https://github.com/cahya-wirawan",
"followers_url": "https://api.github.com/users/cahya-wirawan/followers",
"following_url": "https://api.github.com/users/cahya-wirawan/following{/other_user}",
"gists_url": "https://api.github.com/users/cahya-wirawan/gists{/gist_id}",
"starred_url": "https://api.github.com/users/cahya-wirawan/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/cahya-wirawan/subscriptions",
"organizations_url": "https://api.github.com/users/cahya-wirawan/orgs",
"repos_url": "https://api.github.com/users/cahya-wirawan/repos",
"events_url": "https://api.github.com/users/cahya-wirawan/events{/privacy}",
"received_events_url": "https://api.github.com/users/cahya-wirawan/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,751,514,000 | 1,611,150,086,000 | 1,611,150,086,000 | CONTRIBUTOR | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1740/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1740/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1740",
"html_url": "https://github.com/huggingface/datasets/pull/1740",
"diff_url": "https://github.com/huggingface/datasets/pull/1740.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1740.patch",
"merged_at": 1611150086000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1739 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1739/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1739/comments | https://api.github.com/repos/huggingface/datasets/issues/1739/events | https://github.com/huggingface/datasets/pull/1739 | 787,219,138 | MDExOlB1bGxSZXF1ZXN0NTU1OTY5Njgx | 1,739 | fixes and improvements for the WebNLG loader | {
"login": "Shimorina",
"id": 9607332,
"node_id": "MDQ6VXNlcjk2MDczMzI=",
"avatar_url": "https://avatars.githubusercontent.com/u/9607332?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Shimorina",
"html_url": "https://github.com/Shimorina",
"followers_url": "https://api.github.com/users/Shimorina/followers",
"following_url": "https://api.github.com/users/Shimorina/following{/other_user}",
"gists_url": "https://api.github.com/users/Shimorina/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Shimorina/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Shimorina/subscriptions",
"organizations_url": "https://api.github.com/users/Shimorina/orgs",
"repos_url": "https://api.github.com/users/Shimorina/repos",
"events_url": "https://api.github.com/users/Shimorina/events{/privacy}",
"received_events_url": "https://api.github.com/users/Shimorina/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"The dataset card is fantastic!\r\n\r\nLooks good to me! Did you check that this still passes the slow tests with the existing dummy data?",
"Yes, I ran and passed all the tests specified in [this guide](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#automatically-add-code-metadata), including the slow ones.",
"I just added the `from pathlib import Path` at the top to fix the script",
"I ran the tests locally and they all pass, merging",
"Thank you for the review!"
] | 1,610,747,123,000 | 1,611,930,846,000 | 1,611,917,583,000 | CONTRIBUTOR | null | - fixes test sets loading in v3.0
- adds additional fields for v3.0_ru
- adds info to the WebNLG data card | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1739/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1739/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1739",
"html_url": "https://github.com/huggingface/datasets/pull/1739",
"diff_url": "https://github.com/huggingface/datasets/pull/1739.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1739.patch",
"merged_at": 1611917583000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1738 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1738/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1738/comments | https://api.github.com/repos/huggingface/datasets/issues/1738/events | https://github.com/huggingface/datasets/pull/1738 | 786,068,440 | MDExOlB1bGxSZXF1ZXN0NTU0OTk2NDU4 | 1,738 | Conda support | {
"login": "LysandreJik",
"id": 30755778,
"node_id": "MDQ6VXNlcjMwNzU1Nzc4",
"avatar_url": "https://avatars.githubusercontent.com/u/30755778?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/LysandreJik",
"html_url": "https://github.com/LysandreJik",
"followers_url": "https://api.github.com/users/LysandreJik/followers",
"following_url": "https://api.github.com/users/LysandreJik/following{/other_user}",
"gists_url": "https://api.github.com/users/LysandreJik/gists{/gist_id}",
"starred_url": "https://api.github.com/users/LysandreJik/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/LysandreJik/subscriptions",
"organizations_url": "https://api.github.com/users/LysandreJik/orgs",
"repos_url": "https://api.github.com/users/LysandreJik/repos",
"events_url": "https://api.github.com/users/LysandreJik/events{/privacy}",
"received_events_url": "https://api.github.com/users/LysandreJik/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Nice thanks :) \r\nNote that in `datasets` the tags are simply the version without the `v`. For example `1.2.1`.",
"Do you push tags only for versions?",
"Yes I've always used tags only for versions"
] | 1,610,637,085,000 | 1,610,705,300,000 | 1,610,705,299,000 | MEMBER | null | 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
``` | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1738/reactions",
"total_count": 4,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 4,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1738/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1738",
"html_url": "https://github.com/huggingface/datasets/pull/1738",
"diff_url": "https://github.com/huggingface/datasets/pull/1738.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1738.patch",
"merged_at": 1610705298000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1737 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1737/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1737/comments | https://api.github.com/repos/huggingface/datasets/issues/1737/events | https://github.com/huggingface/datasets/pull/1737 | 785,606,286 | MDExOlB1bGxSZXF1ZXN0NTU0NjA2ODg5 | 1,737 | update link in TLC to be github links | {
"login": "chameleonTK",
"id": 6429850,
"node_id": "MDQ6VXNlcjY0Mjk4NTA=",
"avatar_url": "https://avatars.githubusercontent.com/u/6429850?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/chameleonTK",
"html_url": "https://github.com/chameleonTK",
"followers_url": "https://api.github.com/users/chameleonTK/followers",
"following_url": "https://api.github.com/users/chameleonTK/following{/other_user}",
"gists_url": "https://api.github.com/users/chameleonTK/gists{/gist_id}",
"starred_url": "https://api.github.com/users/chameleonTK/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/chameleonTK/subscriptions",
"organizations_url": "https://api.github.com/users/chameleonTK/orgs",
"repos_url": "https://api.github.com/users/chameleonTK/repos",
"events_url": "https://api.github.com/users/chameleonTK/events{/privacy}",
"received_events_url": "https://api.github.com/users/chameleonTK/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Thanks for updating this!"
] | 1,610,592,561,000 | 1,610,619,924,000 | 1,610,619,924,000 | CONTRIBUTOR | null | Base on this issue https://github.com/huggingface/datasets/issues/1064, I can now use the official links.
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1737/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1737/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1737",
"html_url": "https://github.com/huggingface/datasets/pull/1737",
"diff_url": "https://github.com/huggingface/datasets/pull/1737.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1737.patch",
"merged_at": 1610619924000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1736 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1736/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1736/comments | https://api.github.com/repos/huggingface/datasets/issues/1736/events | https://github.com/huggingface/datasets/pull/1736 | 785,433,854 | MDExOlB1bGxSZXF1ZXN0NTU0NDYyNjYw | 1,736 | Adjust BrWaC dataset features name | {
"login": "jonatasgrosman",
"id": 5097052,
"node_id": "MDQ6VXNlcjUwOTcwNTI=",
"avatar_url": "https://avatars.githubusercontent.com/u/5097052?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/jonatasgrosman",
"html_url": "https://github.com/jonatasgrosman",
"followers_url": "https://api.github.com/users/jonatasgrosman/followers",
"following_url": "https://api.github.com/users/jonatasgrosman/following{/other_user}",
"gists_url": "https://api.github.com/users/jonatasgrosman/gists{/gist_id}",
"starred_url": "https://api.github.com/users/jonatasgrosman/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jonatasgrosman/subscriptions",
"organizations_url": "https://api.github.com/users/jonatasgrosman/orgs",
"repos_url": "https://api.github.com/users/jonatasgrosman/repos",
"events_url": "https://api.github.com/users/jonatasgrosman/events{/privacy}",
"received_events_url": "https://api.github.com/users/jonatasgrosman/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,570,344,000 | 1,610,620,178,000 | 1,610,620,178,000 | CONTRIBUTOR | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1736/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1736/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1736",
"html_url": "https://github.com/huggingface/datasets/pull/1736",
"diff_url": "https://github.com/huggingface/datasets/pull/1736.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1736.patch",
"merged_at": 1610620178000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1735 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1735/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1735/comments | https://api.github.com/repos/huggingface/datasets/issues/1735/events | https://github.com/huggingface/datasets/pull/1735 | 785,184,740 | MDExOlB1bGxSZXF1ZXN0NTU0MjUzMDcw | 1,735 | Update add new dataset template | {
"login": "sgugger",
"id": 35901082,
"node_id": "MDQ6VXNlcjM1OTAxMDgy",
"avatar_url": "https://avatars.githubusercontent.com/u/35901082?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/sgugger",
"html_url": "https://github.com/sgugger",
"followers_url": "https://api.github.com/users/sgugger/followers",
"following_url": "https://api.github.com/users/sgugger/following{/other_user}",
"gists_url": "https://api.github.com/users/sgugger/gists{/gist_id}",
"starred_url": "https://api.github.com/users/sgugger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/sgugger/subscriptions",
"organizations_url": "https://api.github.com/users/sgugger/orgs",
"repos_url": "https://api.github.com/users/sgugger/repos",
"events_url": "https://api.github.com/users/sgugger/events{/privacy}",
"received_events_url": "https://api.github.com/users/sgugger/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Add new \"dataset\"? ;)",
"Lol, too used to Transformers ;-)"
] | 1,610,550,489,000 | 1,610,637,361,000 | 1,610,637,360,000 | MEMBER | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1735/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1735/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1735",
"html_url": "https://github.com/huggingface/datasets/pull/1735",
"diff_url": "https://github.com/huggingface/datasets/pull/1735.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1735.patch",
"merged_at": 1610637360000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1734 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1734/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1734/comments | https://api.github.com/repos/huggingface/datasets/issues/1734/events | https://github.com/huggingface/datasets/pull/1734 | 784,956,707 | MDExOlB1bGxSZXF1ZXN0NTU0MDYxMzMz | 1,734 | Fix empty token bug for `thainer` and `lst20` | {
"login": "cstorm125",
"id": 15519308,
"node_id": "MDQ6VXNlcjE1NTE5MzA4",
"avatar_url": "https://avatars.githubusercontent.com/u/15519308?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/cstorm125",
"html_url": "https://github.com/cstorm125",
"followers_url": "https://api.github.com/users/cstorm125/followers",
"following_url": "https://api.github.com/users/cstorm125/following{/other_user}",
"gists_url": "https://api.github.com/users/cstorm125/gists{/gist_id}",
"starred_url": "https://api.github.com/users/cstorm125/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/cstorm125/subscriptions",
"organizations_url": "https://api.github.com/users/cstorm125/orgs",
"repos_url": "https://api.github.com/users/cstorm125/repos",
"events_url": "https://api.github.com/users/cstorm125/events{/privacy}",
"received_events_url": "https://api.github.com/users/cstorm125/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,531,709,000 | 1,610,620,938,000 | 1,610,620,938,000 | CONTRIBUTOR | null | add a condition to check if tokens exist before yielding in `thainer` and `lst20` | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1734/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1734/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1734",
"html_url": "https://github.com/huggingface/datasets/pull/1734",
"diff_url": "https://github.com/huggingface/datasets/pull/1734.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1734.patch",
"merged_at": 1610620938000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1733 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1733/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1733/comments | https://api.github.com/repos/huggingface/datasets/issues/1733/events | https://github.com/huggingface/datasets/issues/1733 | 784,903,002 | MDU6SXNzdWU3ODQ5MDMwMDI= | 1,733 | connection issue with glue, what is the data url for glue? | {
"login": "ghost",
"id": 10137,
"node_id": "MDQ6VXNlcjEwMTM3",
"avatar_url": "https://avatars.githubusercontent.com/u/10137?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ghost",
"html_url": "https://github.com/ghost",
"followers_url": "https://api.github.com/users/ghost/followers",
"following_url": "https://api.github.com/users/ghost/following{/other_user}",
"gists_url": "https://api.github.com/users/ghost/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ghost/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ghost/subscriptions",
"organizations_url": "https://api.github.com/users/ghost/orgs",
"repos_url": "https://api.github.com/users/ghost/repos",
"events_url": "https://api.github.com/users/ghost/events{/privacy}",
"received_events_url": "https://api.github.com/users/ghost/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hello @juliahane, which config of GLUE causes you trouble?\r\nThe URLs are defined in the dataset script source code: https://github.com/huggingface/datasets/blob/master/datasets/glue/glue.py"
] | 1,610,527,060,000 | 1,628,100,835,000 | 1,628,100,835,000 | NONE | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1733/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1733/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1732 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1732/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1732/comments | https://api.github.com/repos/huggingface/datasets/issues/1732/events | https://github.com/huggingface/datasets/pull/1732 | 784,874,490 | MDExOlB1bGxSZXF1ZXN0NTUzOTkzNTAx | 1,732 | [GEM Dataset] Added TurkCorpus, an evaluation dataset for sentence simplification. | {
"login": "mounicam",
"id": 11708999,
"node_id": "MDQ6VXNlcjExNzA4OTk5",
"avatar_url": "https://avatars.githubusercontent.com/u/11708999?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mounicam",
"html_url": "https://github.com/mounicam",
"followers_url": "https://api.github.com/users/mounicam/followers",
"following_url": "https://api.github.com/users/mounicam/following{/other_user}",
"gists_url": "https://api.github.com/users/mounicam/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mounicam/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mounicam/subscriptions",
"organizations_url": "https://api.github.com/users/mounicam/orgs",
"repos_url": "https://api.github.com/users/mounicam/repos",
"events_url": "https://api.github.com/users/mounicam/events{/privacy}",
"received_events_url": "https://api.github.com/users/mounicam/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Thank you for the feedback! I updated the code. "
] | 1,610,524,219,000 | 1,610,619,581,000 | 1,610,619,581,000 | CONTRIBUTOR | null | We want to use TurkCorpus for validation and testing of the sentence simplification task. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1732/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1732/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1732",
"html_url": "https://github.com/huggingface/datasets/pull/1732",
"diff_url": "https://github.com/huggingface/datasets/pull/1732.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1732.patch",
"merged_at": 1610619580000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1731 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1731/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1731/comments | https://api.github.com/repos/huggingface/datasets/issues/1731/events | https://github.com/huggingface/datasets/issues/1731 | 784,744,674 | MDU6SXNzdWU3ODQ3NDQ2NzQ= | 1,731 | Couldn't reach swda.py | {
"login": "yangp725",
"id": 13365326,
"node_id": "MDQ6VXNlcjEzMzY1MzI2",
"avatar_url": "https://avatars.githubusercontent.com/u/13365326?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/yangp725",
"html_url": "https://github.com/yangp725",
"followers_url": "https://api.github.com/users/yangp725/followers",
"following_url": "https://api.github.com/users/yangp725/following{/other_user}",
"gists_url": "https://api.github.com/users/yangp725/gists{/gist_id}",
"starred_url": "https://api.github.com/users/yangp725/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/yangp725/subscriptions",
"organizations_url": "https://api.github.com/users/yangp725/orgs",
"repos_url": "https://api.github.com/users/yangp725/repos",
"events_url": "https://api.github.com/users/yangp725/events{/privacy}",
"received_events_url": "https://api.github.com/users/yangp725/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi @yangp725,\r\nThe SWDA has been added very recently and has not been released yet, thus it is not available in the `1.2.0` version of 🤗`datasets`.\r\nYou can still access it by installing the latest version of the library (master branch), by following instructions in [this issue](https://github.com/huggingface/datasets/issues/1641#issuecomment-751571471).\r\nLet me know if this helps !",
"Thanks @SBrandeis ,\r\nProblem solved by downloading and installing the latest version datasets."
] | 1,610,506,660,000 | 1,610,536,660,000 | 1,610,536,660,000 | NONE | null | ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.0/datasets/swda/swda.py
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1731/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1731/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1730 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1730/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1730/comments | https://api.github.com/repos/huggingface/datasets/issues/1730/events | https://github.com/huggingface/datasets/pull/1730 | 784,617,525 | MDExOlB1bGxSZXF1ZXN0NTUzNzgxMDY0 | 1,730 | Add MNIST dataset | {
"login": "sgugger",
"id": 35901082,
"node_id": "MDQ6VXNlcjM1OTAxMDgy",
"avatar_url": "https://avatars.githubusercontent.com/u/35901082?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/sgugger",
"html_url": "https://github.com/sgugger",
"followers_url": "https://api.github.com/users/sgugger/followers",
"following_url": "https://api.github.com/users/sgugger/following{/other_user}",
"gists_url": "https://api.github.com/users/sgugger/gists{/gist_id}",
"starred_url": "https://api.github.com/users/sgugger/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/sgugger/subscriptions",
"organizations_url": "https://api.github.com/users/sgugger/orgs",
"repos_url": "https://api.github.com/users/sgugger/repos",
"events_url": "https://api.github.com/users/sgugger/events{/privacy}",
"received_events_url": "https://api.github.com/users/sgugger/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,488,082,000 | 1,610,533,187,000 | 1,610,533,186,000 | MEMBER | null | This PR adds the MNIST dataset to the library. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1730/reactions",
"total_count": 1,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 1,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1730/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1730",
"html_url": "https://github.com/huggingface/datasets/pull/1730",
"diff_url": "https://github.com/huggingface/datasets/pull/1730.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1730.patch",
"merged_at": 1610533186000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1729 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1729/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1729/comments | https://api.github.com/repos/huggingface/datasets/issues/1729/events | https://github.com/huggingface/datasets/issues/1729 | 784,565,898 | MDU6SXNzdWU3ODQ1NjU4OTg= | 1,729 | Is there support for Deep learning datasets? | {
"login": "pablodz",
"id": 28235457,
"node_id": "MDQ6VXNlcjI4MjM1NDU3",
"avatar_url": "https://avatars.githubusercontent.com/u/28235457?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/pablodz",
"html_url": "https://github.com/pablodz",
"followers_url": "https://api.github.com/users/pablodz/followers",
"following_url": "https://api.github.com/users/pablodz/following{/other_user}",
"gists_url": "https://api.github.com/users/pablodz/gists{/gist_id}",
"starred_url": "https://api.github.com/users/pablodz/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/pablodz/subscriptions",
"organizations_url": "https://api.github.com/users/pablodz/orgs",
"repos_url": "https://api.github.com/users/pablodz/repos",
"events_url": "https://api.github.com/users/pablodz/events{/privacy}",
"received_events_url": "https://api.github.com/users/pablodz/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi @ZurMaD!\r\nThanks for your interest in 🤗 `datasets`. Support for image datasets is at an early stage, with CIFAR-10 added in #1617 \r\nMNIST is also on the way: #1730 \r\n\r\nIf you feel like adding another image dataset, I would advise starting by reading the [ADD_NEW_DATASET.md](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md) guide. New datasets are always very much appreciated 🚀\r\n"
] | 1,610,482,961,000 | 1,617,164,647,000 | 1,617,164,647,000 | NONE | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1729/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1729/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1728/comments | https://api.github.com/repos/huggingface/datasets/issues/1728/events | https://github.com/huggingface/datasets/issues/1728 | 784,458,342 | MDU6SXNzdWU3ODQ0NTgzNDI= | 1,728 | Add an entry to an arrow dataset | {
"login": "ameet-1997",
"id": 18645407,
"node_id": "MDQ6VXNlcjE4NjQ1NDA3",
"avatar_url": "https://avatars.githubusercontent.com/u/18645407?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ameet-1997",
"html_url": "https://github.com/ameet-1997",
"followers_url": "https://api.github.com/users/ameet-1997/followers",
"following_url": "https://api.github.com/users/ameet-1997/following{/other_user}",
"gists_url": "https://api.github.com/users/ameet-1997/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ameet-1997/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ameet-1997/subscriptions",
"organizations_url": "https://api.github.com/users/ameet-1997/orgs",
"repos_url": "https://api.github.com/users/ameet-1997/repos",
"events_url": "https://api.github.com/users/ameet-1997/events{/privacy}",
"received_events_url": "https://api.github.com/users/ameet-1997/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi @ameet-1997,\r\nI think what you are looking for is the `concatenate_datasets` function: https://huggingface.co/docs/datasets/processing.html?highlight=concatenate#concatenate-several-datasets\r\n\r\nFor your use case, I would use the [`map` method](https://huggingface.co/docs/datasets/processing.html?highlight=concatenate#processing-data-with-map) to transform the SQuAD sentences and the `concatenate` the original and mapped dataset.\r\n\r\nLet me know If this helps!",
"That's a great idea! Thank you so much!\r\n\r\nWhen I try that solution, I get the following error when I try to concatenate `datasets` and `modified_dataset`. I have also attached the output I get when I print out those two variables. Am I missing something?\r\n\r\nCode:\r\n``` python\r\ncombined_dataset = concatenate_datasets([datasets, modified_dataset])\r\n```\r\n\r\nError:\r\n```\r\nAttributeError: 'DatasetDict' object has no attribute 'features'\r\n```\r\n\r\nOutput:\r\n```\r\n(Pdb) datasets\r\nDatasetDict({\r\n train: Dataset({\r\n features: ['attention_mask', 'input_ids', 'special_tokens_mask'],\r\n num_rows: 493\r\n })\r\n})\r\n(Pdb) modified_dataset\r\nDatasetDict({\r\n train: Dataset({\r\n features: ['attention_mask', 'input_ids', 'special_tokens_mask'],\r\n num_rows: 493\r\n })\r\n})\r\n```\r\n\r\nThe error is stemming from the fact that the attribute `datasets.features` does not exist. Would it not be possible to use `concatenate_datasets` in such a case? Is there an alternate solution?",
"You should do `combined_dataset = concatenate_datasets([datasets['train'], modified_dataset['train']])`\r\n\r\nDidn't we talk about returning a Dataset instead of a DatasetDict with load_dataset and no split provided @lhoestq? Not sure it's the way to go but I'm wondering if it's not simpler for some use-cases.",
"> Didn't we talk about returning a Dataset instead of a DatasetDict with load_dataset and no split provided @lhoestq? Not sure it's the way to go but I'm wondering if it's not simpler for some use-cases.\r\n\r\nMy opinion is that users should always know in advance what type of objects they're going to get. Otherwise the development workflow on their side is going to be pretty chaotic with sometimes unexpected behaviors.\r\nFor instance is `split=` is not specified it's currently always returning a DatasetDict. And if `split=\"train\"` is given for example it's always returning a Dataset.",
"Thanks @thomwolf. Your solution worked!"
] | 1,610,474,507,000 | 1,610,997,332,000 | 1,610,997,332,000 | NONE | null | 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?
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1728/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1728/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1726 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1726/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1726/comments | https://api.github.com/repos/huggingface/datasets/issues/1726/events | https://github.com/huggingface/datasets/pull/1726 | 784,336,370 | MDExOlB1bGxSZXF1ZXN0NTUzNTQ0ODg4 | 1,726 | Offline loading | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"It's maybe a bit annoying to add but could we maybe have as well a version of the local data loading scripts in the package?\r\nThe `text`, `json`, `csv`. Thinking about people like in #1725 who are expecting to be able to work with local data without downloading anything.\r\n\r\nMaybe we can add them to package_data or something?",
"Yes I mentioned this in #824 as well. I'm looking into it",
"Alright now `csv`, `json`, `text` and `pandas` are \"packaged datasets\", i.e. they're part of the `datasets` package, which makes them available in offline mode without any change in terms of API:\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nd = load_dataset(\"csv\", data_files=[\"path/to/data.csv\"])\r\n```\r\n\r\nInstead of loading the dataset script from the module cache, it's loaded from inside the `datasets` package.\r\n\r\nI updated the test to still be able to fetch the dummy data files for those datasets from `datasets/{text|csv|pandas|json}/dummy` in the repo.",
"Alright now all test pass :)\r\n(I don't thank you windows)",
"LGTM! Since you're getting the local script's last modification date anyways do you think it might be a good idea to show it in the warning?",
"> LGTM! Since you're getting the local script's last modification date anyways do you think it might be a good idea to show it in the warning?\r\n\r\nYep good idea. I added the date in the warning. For example `(last modified on Mon Nov 30 11:01:56 2020)`"
] | 1,610,464,917,000 | 1,611,857,122,000 | 1,611,074,552,000 | MEMBER | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1726/reactions",
"total_count": 1,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 1,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1726/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1726",
"html_url": "https://github.com/huggingface/datasets/pull/1726",
"diff_url": "https://github.com/huggingface/datasets/pull/1726.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1726.patch",
"merged_at": 1611074552000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1723 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1723/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1723/comments | https://api.github.com/repos/huggingface/datasets/issues/1723/events | https://github.com/huggingface/datasets/pull/1723 | 783,982,100 | MDExOlB1bGxSZXF1ZXN0NTUzMjQ4MzU1 | 1,723 | ADD S3 support for downloading and uploading processed datasets | {
"login": "philschmid",
"id": 32632186,
"node_id": "MDQ6VXNlcjMyNjMyMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/32632186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/philschmid",
"html_url": "https://github.com/philschmid",
"followers_url": "https://api.github.com/users/philschmid/followers",
"following_url": "https://api.github.com/users/philschmid/following{/other_user}",
"gists_url": "https://api.github.com/users/philschmid/gists{/gist_id}",
"starred_url": "https://api.github.com/users/philschmid/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/philschmid/subscriptions",
"organizations_url": "https://api.github.com/users/philschmid/orgs",
"repos_url": "https://api.github.com/users/philschmid/repos",
"events_url": "https://api.github.com/users/philschmid/events{/privacy}",
"received_events_url": "https://api.github.com/users/philschmid/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"I created the documentation for `FileSystem Integration for cloud storage` with loading and saving datasets to/from a filesystem with an example of using `datasets.filesystem.S3Filesystem`. I added a note on the `Saving a processed dataset on disk and reload` saying that it is also possible to use other filesystems and cloud storages such as S3 with a link to the newly created documentation page from me. \r\nI Attach a screenshot of it here. \r\n\r\n"
] | 1,610,435,854,000 | 1,611,680,528,000 | 1,611,680,528,000 | MEMBER | null | # 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`
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1723/reactions",
"total_count": 3,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 3,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1723/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1723",
"html_url": "https://github.com/huggingface/datasets/pull/1723",
"diff_url": "https://github.com/huggingface/datasets/pull/1723.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1723.patch",
"merged_at": 1611680527000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1722 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1722/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1722/comments | https://api.github.com/repos/huggingface/datasets/issues/1722/events | https://github.com/huggingface/datasets/pull/1722 | 783,921,679 | MDExOlB1bGxSZXF1ZXN0NTUzMTk3MTg4 | 1,722 | Added unfiltered versions of the Wiki-Auto training data for the GEM simplification task. | {
"login": "mounicam",
"id": 11708999,
"node_id": "MDQ6VXNlcjExNzA4OTk5",
"avatar_url": "https://avatars.githubusercontent.com/u/11708999?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/mounicam",
"html_url": "https://github.com/mounicam",
"followers_url": "https://api.github.com/users/mounicam/followers",
"following_url": "https://api.github.com/users/mounicam/following{/other_user}",
"gists_url": "https://api.github.com/users/mounicam/gists{/gist_id}",
"starred_url": "https://api.github.com/users/mounicam/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/mounicam/subscriptions",
"organizations_url": "https://api.github.com/users/mounicam/orgs",
"repos_url": "https://api.github.com/users/mounicam/repos",
"events_url": "https://api.github.com/users/mounicam/events{/privacy}",
"received_events_url": "https://api.github.com/users/mounicam/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"The current version of Wiki-Auto dataset contains a filtered version of the aligned dataset. The commit adds unfiltered versions of the data that can be useful the GEM task participants."
] | 1,610,429,164,000 | 1,610,475,293,000 | 1,610,472,957,000 | CONTRIBUTOR | null | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1722/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1722/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1722",
"html_url": "https://github.com/huggingface/datasets/pull/1722",
"diff_url": "https://github.com/huggingface/datasets/pull/1722.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1722.patch",
"merged_at": 1610472957000
} | true |
|
https://api.github.com/repos/huggingface/datasets/issues/1721 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1721/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1721/comments | https://api.github.com/repos/huggingface/datasets/issues/1721/events | https://github.com/huggingface/datasets/pull/1721 | 783,828,428 | MDExOlB1bGxSZXF1ZXN0NTUzMTIyODQ5 | 1,721 | [Scientific papers] Mirror datasets zip | {
"login": "patrickvonplaten",
"id": 23423619,
"node_id": "MDQ6VXNlcjIzNDIzNjE5",
"avatar_url": "https://avatars.githubusercontent.com/u/23423619?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/patrickvonplaten",
"html_url": "https://github.com/patrickvonplaten",
"followers_url": "https://api.github.com/users/patrickvonplaten/followers",
"following_url": "https://api.github.com/users/patrickvonplaten/following{/other_user}",
"gists_url": "https://api.github.com/users/patrickvonplaten/gists{/gist_id}",
"starred_url": "https://api.github.com/users/patrickvonplaten/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/patrickvonplaten/subscriptions",
"organizations_url": "https://api.github.com/users/patrickvonplaten/orgs",
"repos_url": "https://api.github.com/users/patrickvonplaten/repos",
"events_url": "https://api.github.com/users/patrickvonplaten/events{/privacy}",
"received_events_url": "https://api.github.com/users/patrickvonplaten/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"> Nice !\r\n> \r\n> Could you try to reduce the size of the dummy_data.zip files ? they're quite big (300KB)\r\n\r\nYes, I think it might make sense to enhance the tool a tiny bit to prevent this automatically",
"That's the lightest I can make it...it's long-range summarization so a single sample has ~11000 tokens. ",
"Ok thanks :)",
"Awesome good to merge for me :-) "
] | 1,610,414,140,000 | 1,610,452,155,000 | 1,610,451,707,000 | MEMBER | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1721/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1721/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1721",
"html_url": "https://github.com/huggingface/datasets/pull/1721",
"diff_url": "https://github.com/huggingface/datasets/pull/1721.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1721.patch",
"merged_at": 1610451707000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1720 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1720/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1720/comments | https://api.github.com/repos/huggingface/datasets/issues/1720/events | https://github.com/huggingface/datasets/pull/1720 | 783,721,833 | MDExOlB1bGxSZXF1ZXN0NTUzMDM0MzYx | 1,720 | Adding the NorNE dataset for NER | {
"login": "versae",
"id": 173537,
"node_id": "MDQ6VXNlcjE3MzUzNw==",
"avatar_url": "https://avatars.githubusercontent.com/u/173537?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/versae",
"html_url": "https://github.com/versae",
"followers_url": "https://api.github.com/users/versae/followers",
"following_url": "https://api.github.com/users/versae/following{/other_user}",
"gists_url": "https://api.github.com/users/versae/gists{/gist_id}",
"starred_url": "https://api.github.com/users/versae/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/versae/subscriptions",
"organizations_url": "https://api.github.com/users/versae/orgs",
"repos_url": "https://api.github.com/users/versae/repos",
"events_url": "https://api.github.com/users/versae/events{/privacy}",
"received_events_url": "https://api.github.com/users/versae/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Quick question, @lhoestq. In this specific dataset, two special types `GPE_LOC` and `GPE_ORG` can easily be altered depending on the task, choosing either the more general `GPE` tag or the more specific `LOC`/`ORG` tags, conflating them with the other annotations of the same type. However, I have not found an easy way to implement that. Using splits or configs does not seem appropriate.\r\n",
"About the `GPE_LOC` and `GPE_ORG`. The original NorNE paper in which they published the dataset, does an evaluation on three different NER tag sets, one considering `GPE_LOC` and `GPE_ORG` as they are, another changing them to be just `GPE`, and another one by changing it to become `LOC` and `ORG`. The called these sets, `norne-full`, `norne-7`, and `norne-9`. What I would like is to provide a way for the user of this dataset to get `norne-7` and `norne-9` without having to duplicate the code.",
"Ok I see !\r\nI guess you can have three configurations `norne-full`, `norne-7` and `norne-9`.\r\nEach config can have different feature types. You can simply check for the `self.config.name` in the `_info(self)` method and pick the right ClassLabel names accordingly. And then in `_generate_examples` as well you can check for `self.config.name` to know how to process the labels to yield either GPE_LOC/GPE_ORG, GPE or LOC/ORG",
"But I'm already using the configurations for the different language\nvarieties. So you propose having something like `bokmaal`, `bokmaal-7`,\netc? Would there be a different way? If not, I'd be fine the corpus as it\nis until we come up with a solution. Thanks in any case.\n\n--\nSent using a cell-phone, so sorry for the typos and wrong auto-corrections.\n\nOn Tue, Jan 19, 2021, 4:56 PM Quentin Lhoest <notifications@github.com>\nwrote:\n\n> Ok I see !\n> I guess you can have three configurations norne-full, norne-7 and norne-9.\n> Each config can have different feature types. You can simply check for the\n> self.config.name in the _info(self) method and pick the right ClassLabel\n> names accordingly. And then in _generate_examples as well you can check\n> for self.config.name to know how to process the labels to yield either\n> GPE_LOC/GPE_ORG, GPE or LOC/ORG\n>\n> —\n> You are receiving this because you authored the thread.\n> Reply to this email directly, view it on GitHub\n> <https://github.com/huggingface/datasets/pull/1720#issuecomment-762936612>,\n> or unsubscribe\n> <https://github.com/notifications/unsubscribe-auth/AABKLYOWNDBD76WZPJHFCWLS2WTTHANCNFSM4V6GSUQA>\n> .\n>\n",
"The first option about having configurations like `bokmaal-7`, `bokmaal-9` etc. would definitely work.\r\n\r\nA second option would be to add a parameter `ner_tags_set` to `NorneConfig` and then one could load them with\r\n```python\r\nbokmaal_full = load_dataset(\"norne\", \"bokmaal\", ner_tags_set=\"norne-full\")\r\n```\r\nfor example.\r\n\r\nWhat do you think ?",
"Hi @versae have you had a chance to consider one of the two options for the config ?\r\nI think both are ok but I have a small preference for the first one since it's simpler to implement.\r\n\r\nFeel free to ping me if you have questions or if I can help :) ",
"Hi @lhoestq. Agree, option 1 seems easier to implement. Just haven't had bandwidth to get to it yet. Hopefully starting next week I'll be able to update the PR.",
"Hi @versae ! Did you manage to add the configurations ? Let me know if we can help you on this",
"Hi @lhoestq, I do actually have to code ready, just need to generate the dummy data for it. ",
"One thing I don't know how to do is to make `_info(self)` return the different NER tags in its `DatasetInfo` object depending on the specific config.",
"OK, I think it's ready now.",
"Closing this one and opening a new one with a cleaner commit log.",
"All set now in #2154."
] | 1,610,400,853,000 | 1,617,200,629,000 | 1,617,199,997,000 | CONTRIBUTOR | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1720/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1720/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1720",
"html_url": "https://github.com/huggingface/datasets/pull/1720",
"diff_url": "https://github.com/huggingface/datasets/pull/1720.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1720.patch",
"merged_at": null
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1719 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1719/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1719/comments | https://api.github.com/repos/huggingface/datasets/issues/1719/events | https://github.com/huggingface/datasets/pull/1719 | 783,557,542 | MDExOlB1bGxSZXF1ZXN0NTUyODk3MzY4 | 1,719 | Fix column list comparison in transmit format | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,385,836,000 | 1,610,390,703,000 | 1,610,390,702,000 | MEMBER | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1719/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1719/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1719",
"html_url": "https://github.com/huggingface/datasets/pull/1719",
"diff_url": "https://github.com/huggingface/datasets/pull/1719.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1719.patch",
"merged_at": 1610390702000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1718 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1718/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1718/comments | https://api.github.com/repos/huggingface/datasets/issues/1718/events | https://github.com/huggingface/datasets/issues/1718 | 783,474,753 | MDU6SXNzdWU3ODM0NzQ3NTM= | 1,718 | Possible cache miss in datasets | {
"login": "ofirzaf",
"id": 18296312,
"node_id": "MDQ6VXNlcjE4Mjk2MzEy",
"avatar_url": "https://avatars.githubusercontent.com/u/18296312?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ofirzaf",
"html_url": "https://github.com/ofirzaf",
"followers_url": "https://api.github.com/users/ofirzaf/followers",
"following_url": "https://api.github.com/users/ofirzaf/following{/other_user}",
"gists_url": "https://api.github.com/users/ofirzaf/gists{/gist_id}",
"starred_url": "https://api.github.com/users/ofirzaf/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/ofirzaf/subscriptions",
"organizations_url": "https://api.github.com/users/ofirzaf/orgs",
"repos_url": "https://api.github.com/users/ofirzaf/repos",
"events_url": "https://api.github.com/users/ofirzaf/events{/privacy}",
"received_events_url": "https://api.github.com/users/ofirzaf/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Thanks for reporting !\r\nI was able to reproduce thanks to your code and find the origin of the bug.\r\nThe cache was not reusing the same file because one object was not deterministic. It comes from a conversion from `set` to `list` in the `datasets.arrrow_dataset.transmit_format` function, where the resulting list would not always be in the same order and therefore the function that computes the hash used by the cache would not always return the same result.\r\nI'm opening a PR to fix this.\r\n\r\nAlso we plan to do a new release in the coming days so you can expect the fix to be available soon.\r\nNote that you can still specify `cache_file_name=` in the second `map()` call to name the cache file yourself if you want to.",
"Thanks for the fast reply, waiting for the fix :)\r\n\r\nI tried to use `cache_file_names` and wasn't sure how, I tried to give it the following:\r\n```\r\ntokenized_datasets = tokenized_datasets.map(\r\n group_texts,\r\n batched=True,\r\n num_proc=60,\r\n load_from_cache_file=True,\r\n cache_file_names={k: f'.cache/{str(k)}' for k in tokenized_datasets}\r\n)\r\n```\r\n\r\nand got an error:\r\n```\r\nmultiprocess.pool.RemoteTraceback:\r\n\"\"\"\r\nTraceback (most recent call last):\r\n File \"/venv/lib/python3.6/site-packages/multiprocess/pool.py\", line 119, in worker\r\n result = (True, func(*args, **kwds))\r\n File \"/venv/lib/python3.6/site-packages/datasets/arrow_dataset.py\", line 157, in wrapper\r\n out: Union[\"Dataset\", \"DatasetDict\"] = func(self, *args, **kwargs)\r\n File \"/venv/lib/python3.6/site-packages/datasets/fingerprint.py\", line 163, in wrapper\r\n out = func(self, *args, **kwargs)\r\n File \"/venv/lib/python3.6/site-packages/datasets/arrow_dataset.py\", line 1491, in _map_single\r\n tmp_file = tempfile.NamedTemporaryFile(\"wb\", dir=os.path.dirname(cache_file_name), delete=False)\r\n File \"/usr/lib/python3.6/tempfile.py\", line 690, in NamedTemporaryFile\r\n (fd, name) = _mkstemp_inner(dir, prefix, suffix, flags, output_type)\r\n File \"/usr/lib/python3.6/tempfile.py\", line 401, in _mkstemp_inner\r\n fd = _os.open(file, flags, 0o600)\r\nFileNotFoundError: [Errno 2] No such file or directory: '_00000_of_00060.cache/tmpsvszxtop'\r\n\"\"\"\r\n\r\nThe above exception was the direct cause of the following exception:\r\n\r\nTraceback (most recent call last):\r\n File \"test.py\", line 48, in <module>\r\n cache_file_names={k: f'.cache/{str(k)}' for k in tokenized_datasets}\r\n File \"/venv/lib/python3.6/site-packages/datasets/dataset_dict.py\", line 303, in map\r\n for k, dataset in self.items()\r\n File \"/venv/lib/python3.6/site-packages/datasets/dataset_dict.py\", line 303, in <dictcomp>\r\n for k, dataset in self.items()\r\n File \"/venv/lib/python3.6/site-packages/datasets/arrow_dataset.py\", line 1317, in map\r\n transformed_shards = [r.get() for r in results]\r\n File \"/venv/lib/python3.6/site-packages/datasets/arrow_dataset.py\", line 1317, in <listcomp>\r\n transformed_shards = [r.get() for r in results]\r\n File \"/venv/lib/python3.6/site-packages/multiprocess/pool.py\", line 644, in get\r\n raise self._value\r\nFileNotFoundError: [Errno 2] No such file or directory: '_00000_of_00060.cache/tmpsvszxtop'\r\n```\r\n",
"The documentation says\r\n```\r\ncache_file_names (`Optional[Dict[str, str]]`, defaults to `None`): Provide the name of a cache file to use to store the\r\n results of the computation instead of the automatically generated cache file name.\r\n You have to provide one :obj:`cache_file_name` per dataset in the dataset dictionary.\r\n```\r\nWhat is expected is simply the name of a file, not a path. The file will be located in the cache directory of the `wikitext` dataset. You can try again with something like\r\n```python\r\ncache_file_names = {k: f'tokenized_and_grouped_{str(k)}' for k in tokenized_datasets}\r\n```",
"Managed to get `cache_file_names` working and caching works well with it\r\nHad to make a small modification for it to work:\r\n```\r\ncache_file_names = {k: f'tokenized_and_grouped_{str(k)}.arrow' for k in tokenized_datasets}\r\n```",
"Another comment on `cache_file_names`, it doesn't save the produced cached files in the dataset's cache folder, it requires to give a path to an existing directory for it to work.\r\nI can confirm that this is how it works in `datasets==1.1.3`",
"Oh yes indeed ! Maybe we need to update the docstring to mention that it is a path",
"I fixed the docstring. Hopefully this is less confusing now: https://github.com/huggingface/datasets/commit/42ccc0012ba8864e6db1392430100f350236183a",
"I upgraded to the latest version and I encountered some strange behaviour, the script I posted in the OP doesn't trigger recalculation, however, if I add the following change it does trigger partial recalculation, I am not sure if its something wrong on my machine or a bug:\r\n```\r\nfrom datasets import load_dataset\r\nfrom transformers import AutoTokenizer\r\n\r\ndatasets = load_dataset('wikitext', 'wikitext-103-raw-v1')\r\ntokenizer = AutoTokenizer.from_pretrained('bert-base-uncased', use_fast=True)\r\n\r\ncolumn_names = datasets[\"train\"].column_names\r\ntext_column_name = \"text\" if \"text\" in column_names else column_names[0]\r\ndef tokenize_function(examples):\r\n return tokenizer(examples[text_column_name], return_special_tokens_mask=True)\r\n# CHANGE\r\nprint('hello')\r\n# CHANGE\r\n\r\ntokenized_datasets = datasets.map(\r\n tokenize_function,\r\n batched=True,\r\n...\r\n```\r\nI am using datasets in the `run_mlm.py` script in the transformers examples and I found that if I change the script without touching any of the preprocessing. it still triggers recalculation which is very weird\r\n\r\nEdit: accidently clicked the close issue button ",
"This is because the `group_texts` line definition changes (it is defined 3 lines later than in the previous call). Currently if a function is moved elsewhere in a script we consider it to be different.\r\n\r\nNot sure this is actually a good idea to keep this behavior though. We had this as a security in the early development of the lib but now the recursive hashing of objects is robust so we can probably remove that.\r\nMoreover we're already ignoring the line definition for lambda functions.",
"I opened a PR to change this, let me know what you think.",
"Sounds great, thank you for your quick responses and help! Looking forward for the next release.",
"I am having a similar issue where only the grouped files are loaded from cache while the tokenized ones aren't. I can confirm both datasets are being stored to file, but only the grouped version is loaded from cache. Not sure what might be going on. But I've tried to remove all kinds of non deterministic behaviour, but still no luck. Thanks for the help!\r\n\r\n\r\n```python\r\n # Datasets\r\n train = sorted(glob(args.data_dir + '*.{}'.format(args.ext)))\r\n if args.dev_split >= len(train):\r\n raise ValueError(\"Not enough dev files\")\r\n dev = []\r\n state = random.Random(1001)\r\n for _ in range(args.dev_split):\r\n dev.append(train.pop(state.randint(0, len(train) - 1)))\r\n\r\n max_seq_length = min(args.max_seq_length, tokenizer.model_max_length)\r\n\r\n def tokenize_function(examples):\r\n return tokenizer(examples['text'], return_special_tokens_mask=True)\r\n\r\n def group_texts(examples):\r\n # Concatenate all texts from our dataset and generate chunks of max_seq_length\r\n concatenated_examples = {k: sum(examples[k], []) for k in examples.keys()}\r\n total_length = len(concatenated_examples[list(examples.keys())[0]])\r\n # Truncate (not implementing padding)\r\n total_length = (total_length // max_seq_length) * max_seq_length\r\n # Split by chunks of max_seq_length\r\n result = {\r\n k: [t[i : i + max_seq_length] for i in range(0, total_length, max_seq_length)]\r\n for k, t in concatenated_examples.items()\r\n }\r\n return result\r\n\r\n datasets = load_dataset(\r\n 'text', name='DBNL', data_files={'train': train[:10], 'dev': dev[:5]}, \r\n cache_dir=args.data_cache_dir)\r\n datasets = datasets.map(tokenize_function, \r\n batched=True, remove_columns=['text'], \r\n cache_file_names={k: os.path.join(args.data_cache_dir, f'{k}-tokenized') for k in datasets},\r\n load_from_cache_file=not args.overwrite_cache)\r\n datasets = datasets.map(group_texts, \r\n batched=True,\r\n cache_file_names={k: os.path.join(args.data_cache_dir, f'{k}-grouped') for k in datasets},\r\n load_from_cache_file=not args.overwrite_cache)\r\n```\r\n\r\nAnd this is the log\r\n\r\n```\r\n04/26/2021 10:26:59 - WARNING - datasets.builder - Using custom data configuration DBNL-f8d988ad33ccf2c1\r\n04/26/2021 10:26:59 - WARNING - datasets.builder - Reusing dataset text (/home/manjavacasema/data/.cache/text/DBNL-f8d988ad33ccf2c1/0.0.0/e16f44aa1b321ece1f87b07977cc5d70be93d69b20486d6dacd62e12cf25c9a5)\r\n100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 13/13 [00:00<00:00, 21.07ba/s]\r\n100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 40/40 [00:01<00:00, 24.28ba/s]\r\n04/26/2021 10:27:01 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/manjavacasema/data/.cache/train-grouped\r\n04/26/2021 10:27:01 - WARNING - datasets.arrow_dataset - Loading cached processed dataset at /home/manjavacasema/data/.cache/dev-grouped\r\n```\r\n",
"Hi ! What tokenizer are you using ?",
"It's the ByteLevelBPETokenizer"
] | 1,610,379,451,000 | 1,619,591,723,000 | 1,611,629,279,000 | NONE | null | 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')
``` | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1718/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1718/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1717 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1717/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1717/comments | https://api.github.com/repos/huggingface/datasets/issues/1717/events | https://github.com/huggingface/datasets/issues/1717 | 783,074,255 | MDU6SXNzdWU3ODMwNzQyNTU= | 1,717 | SciFact dataset - minor changes | {
"login": "dwadden",
"id": 3091916,
"node_id": "MDQ6VXNlcjMwOTE5MTY=",
"avatar_url": "https://avatars.githubusercontent.com/u/3091916?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/dwadden",
"html_url": "https://github.com/dwadden",
"followers_url": "https://api.github.com/users/dwadden/followers",
"following_url": "https://api.github.com/users/dwadden/following{/other_user}",
"gists_url": "https://api.github.com/users/dwadden/gists{/gist_id}",
"starred_url": "https://api.github.com/users/dwadden/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/dwadden/subscriptions",
"organizations_url": "https://api.github.com/users/dwadden/orgs",
"repos_url": "https://api.github.com/users/dwadden/repos",
"events_url": "https://api.github.com/users/dwadden/events{/privacy}",
"received_events_url": "https://api.github.com/users/dwadden/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi Dave,\r\nYou are more than welcome to open a PR to make these changes! 🤗\r\nYou will find the relevant information about opening a PR in the [contributing guide](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md) and in the [dataset addition guide](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).\r\n\r\nPinging also @lhoestq for the Google cloud matter.",
"> 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?\r\n\r\nSure ! Also feel free to ping us for reviews or if we can help :)\r\n\r\n> 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?\r\n\r\nWhat makes you think that ?\r\nAfaik there's no scifact on our google storage\r\n",
"\r\n\r\n> > 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?\r\n> \r\n> Sure ! Also feel free to ping us for reviews or if we can help :)\r\n> \r\nOK! We're organizing a [shared task](https://sdproc.org/2021/sharedtasks.html#sciver) based on the dataset, and I made some updates and changed the download URL - so the current code points to a dead URL. I'll update appropriately once the task is finalized and make a PR.\r\n\r\n> > 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?\r\n> \r\n> What makes you think that ?\r\n> Afaik there's no scifact on our google storage\r\n\r\nYou're right, I had the data cached on my machine somewhere. \r\n\r\n",
"I opened a PR about this: https://github.com/huggingface/datasets/pull/1780. Closing this issue, will continue there."
] | 1,610,342,800,000 | 1,611,629,537,000 | 1,611,629,537,000 | CONTRIBUTOR | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1717/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1717/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1716 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1716/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1716/comments | https://api.github.com/repos/huggingface/datasets/issues/1716/events | https://github.com/huggingface/datasets/pull/1716 | 782,819,006 | MDExOlB1bGxSZXF1ZXN0NTUyMjgzNzE5 | 1,716 | Add Hatexplain Dataset | {
"login": "kushal2000",
"id": 48222101,
"node_id": "MDQ6VXNlcjQ4MjIyMTAx",
"avatar_url": "https://avatars.githubusercontent.com/u/48222101?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/kushal2000",
"html_url": "https://github.com/kushal2000",
"followers_url": "https://api.github.com/users/kushal2000/followers",
"following_url": "https://api.github.com/users/kushal2000/following{/other_user}",
"gists_url": "https://api.github.com/users/kushal2000/gists{/gist_id}",
"starred_url": "https://api.github.com/users/kushal2000/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/kushal2000/subscriptions",
"organizations_url": "https://api.github.com/users/kushal2000/orgs",
"repos_url": "https://api.github.com/users/kushal2000/repos",
"events_url": "https://api.github.com/users/kushal2000/events{/privacy}",
"received_events_url": "https://api.github.com/users/kushal2000/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,285,401,000 | 1,610,979,702,000 | 1,610,979,702,000 | CONTRIBUTOR | null | Adding Hatexplain - the first benchmark hate speech dataset covering multiple aspects of the issue | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1716/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1716/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1716",
"html_url": "https://github.com/huggingface/datasets/pull/1716",
"diff_url": "https://github.com/huggingface/datasets/pull/1716.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1716.patch",
"merged_at": 1610979702000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1715 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1715/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1715/comments | https://api.github.com/repos/huggingface/datasets/issues/1715/events | https://github.com/huggingface/datasets/pull/1715 | 782,754,441 | MDExOlB1bGxSZXF1ZXN0NTUyMjM2NDA5 | 1,715 | add Korean intonation-aided intention identification dataset | {
"login": "stevhliu",
"id": 59462357,
"node_id": "MDQ6VXNlcjU5NDYyMzU3",
"avatar_url": "https://avatars.githubusercontent.com/u/59462357?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/stevhliu",
"html_url": "https://github.com/stevhliu",
"followers_url": "https://api.github.com/users/stevhliu/followers",
"following_url": "https://api.github.com/users/stevhliu/following{/other_user}",
"gists_url": "https://api.github.com/users/stevhliu/gists{/gist_id}",
"starred_url": "https://api.github.com/users/stevhliu/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/stevhliu/subscriptions",
"organizations_url": "https://api.github.com/users/stevhliu/orgs",
"repos_url": "https://api.github.com/users/stevhliu/repos",
"events_url": "https://api.github.com/users/stevhliu/events{/privacy}",
"received_events_url": "https://api.github.com/users/stevhliu/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,260,144,000 | 1,631,897,653,000 | 1,610,471,673,000 | CONTRIBUTOR | null | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1715/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1715/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1715",
"html_url": "https://github.com/huggingface/datasets/pull/1715",
"diff_url": "https://github.com/huggingface/datasets/pull/1715.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1715.patch",
"merged_at": 1610471672000
} | true |
|
https://api.github.com/repos/huggingface/datasets/issues/1714 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1714/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1714/comments | https://api.github.com/repos/huggingface/datasets/issues/1714/events | https://github.com/huggingface/datasets/pull/1714 | 782,416,276 | MDExOlB1bGxSZXF1ZXN0NTUxOTc3MDA0 | 1,714 | Adding adversarialQA dataset | {
"login": "maxbartolo",
"id": 15869827,
"node_id": "MDQ6VXNlcjE1ODY5ODI3",
"avatar_url": "https://avatars.githubusercontent.com/u/15869827?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/maxbartolo",
"html_url": "https://github.com/maxbartolo",
"followers_url": "https://api.github.com/users/maxbartolo/followers",
"following_url": "https://api.github.com/users/maxbartolo/following{/other_user}",
"gists_url": "https://api.github.com/users/maxbartolo/gists{/gist_id}",
"starred_url": "https://api.github.com/users/maxbartolo/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/maxbartolo/subscriptions",
"organizations_url": "https://api.github.com/users/maxbartolo/orgs",
"repos_url": "https://api.github.com/users/maxbartolo/repos",
"events_url": "https://api.github.com/users/maxbartolo/events{/privacy}",
"received_events_url": "https://api.github.com/users/maxbartolo/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Oh that's a really cool one, we'll review/merge it soon!\r\n\r\nIn the meantime, do you have any specific positive/negative feedback on the process of adding a datasets Max?\r\nDid you follow the instruction in the [detailed step-by-step](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md)?",
"Thanks Thom, been a while, hope all is well!\r\n\r\nYes, I followed the step by step instructions and found them pretty straightforward. The only things I wasn't sure of were what should go into the YAML tags field for the dataset card, and whether there was a list of options somewhere (maybe akin to the metrics?) of the possible supported tasks. I found the rest very intuitive and the automated metadata and dummy data generation very handy. Thanks!",
"Good point! pinging @yjernite here so he can improve this part!",
"@maxbartolo cool addition!\r\n\r\nFor the YAML tag, you should use the tagging app we provide to choose from a drop-down menu:\r\nhttps://github.com/huggingface/datasets-tagging\r\n\r\nThe process is described toward the end of the [step-by-step guide](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#tag-the-dataset-and-write-the-dataset-card), do you have any suggestions for making it easier to find?\r\n\r\nOtherwise, the dataset card is really cool, thanks for making it so complete!\r\n",
"@yjernite\r\n\r\nThanks, YAML tags added. I think my main issue was with the flow of the [step-by-step guide](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md). For example, the [card creator](https://huggingface.co/datasets/card-creator/) is introduced in Step 4, right after creating an empty directory for your dataset. The first field it requires are the YAML tags, which (at least for me) was the last step of the process.\r\n\r\nI'd suggest having the guide structured in the same order as the creation process. For me it was something like:\r\n- Step 1: Preparing your env\r\n- Step 2: Write the loading/processing code\r\n- Step 3: Automatically generate dummy data and `dataset_infos.json`\r\n- Step 4: Tag the dataset\r\n- Step 5: Write the dataset card using the [card creator](https://huggingface.co/datasets/card-creator/)\r\n- Step 6: Open a Pull Request on the main HuggingFace repo and share your work!!\r\n\r\nThanks again!"
] | 1,610,142,369,000 | 1,610,553,924,000 | 1,610,553,924,000 | CONTRIBUTOR | null | Adding the adversarialQA dataset (https://adversarialqa.github.io/) from Beat the AI (https://arxiv.org/abs/2002.00293) | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1714/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1714/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1714",
"html_url": "https://github.com/huggingface/datasets/pull/1714",
"diff_url": "https://github.com/huggingface/datasets/pull/1714.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1714.patch",
"merged_at": 1610553924000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1713 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1713/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1713/comments | https://api.github.com/repos/huggingface/datasets/issues/1713/events | https://github.com/huggingface/datasets/issues/1713 | 782,337,723 | MDU6SXNzdWU3ODIzMzc3MjM= | 1,713 | Installation using conda | {
"login": "pranav-s",
"id": 9393002,
"node_id": "MDQ6VXNlcjkzOTMwMDI=",
"avatar_url": "https://avatars.githubusercontent.com/u/9393002?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/pranav-s",
"html_url": "https://github.com/pranav-s",
"followers_url": "https://api.github.com/users/pranav-s/followers",
"following_url": "https://api.github.com/users/pranav-s/following{/other_user}",
"gists_url": "https://api.github.com/users/pranav-s/gists{/gist_id}",
"starred_url": "https://api.github.com/users/pranav-s/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/pranav-s/subscriptions",
"organizations_url": "https://api.github.com/users/pranav-s/orgs",
"repos_url": "https://api.github.com/users/pranav-s/repos",
"events_url": "https://api.github.com/users/pranav-s/events{/privacy}",
"received_events_url": "https://api.github.com/users/pranav-s/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Yes indeed the idea is to have the next release on conda cc @LysandreJik ",
"Great! Did you guys have a timeframe in mind for the next release?\r\n\r\nThank you for all the great work in developing this library.",
"I think we can have `datasets` on conda by next week. Will see what I can do!",
"Thank you. Looking forward to it.",
"`datasets` has been added to the huggingface channel thanks to @LysandreJik :)\r\nIt depends on conda-forge though\r\n\r\n```\r\nconda install -c huggingface -c conda-forge datasets\r\n```"
] | 1,610,133,135,000 | 1,631,882,860,000 | 1,631,882,860,000 | NONE | null | 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. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1713/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1713/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1712 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1712/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1712/comments | https://api.github.com/repos/huggingface/datasets/issues/1712/events | https://github.com/huggingface/datasets/pull/1712 | 782,313,097 | MDExOlB1bGxSZXF1ZXN0NTUxODkxMDk4 | 1,712 | Silicone | {
"login": "eusip",
"id": 1551356,
"node_id": "MDQ6VXNlcjE1NTEzNTY=",
"avatar_url": "https://avatars.githubusercontent.com/u/1551356?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/eusip",
"html_url": "https://github.com/eusip",
"followers_url": "https://api.github.com/users/eusip/followers",
"following_url": "https://api.github.com/users/eusip/following{/other_user}",
"gists_url": "https://api.github.com/users/eusip/gists{/gist_id}",
"starred_url": "https://api.github.com/users/eusip/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/eusip/subscriptions",
"organizations_url": "https://api.github.com/users/eusip/orgs",
"repos_url": "https://api.github.com/users/eusip/repos",
"events_url": "https://api.github.com/users/eusip/events{/privacy}",
"received_events_url": "https://api.github.com/users/eusip/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"When should we expect to see our dataset appear in the search dropdown at huggingface.co?",
"Hi @eusip,\r\n\r\n> When should we expect to see our dataset appear in the search dropdown at huggingface.co?\r\n\r\nwhen this PR is merged.",
"Thanks!",
"I've implemented all the changes requested by @lhoestq but I made the mistake of trying to change the remote branch name. \r\n\r\nHopefully the changes are seen on your end as both branches `silicone` and `main` should be up-to-date.",
"It looks like the PR includes changes about many other files than the ones for Silicone (+30,000 line changes)\r\n\r\nMaybe you can try to create another branch and another PR ?",
"> It looks like the PR includes changes about many other files than the ones for Silicone (+30,000 line changes)\r\n> \r\n> Maybe you can try to create another branch and another PR ?\r\n\r\nSure. I will make a new pull request."
] | 1,610,130,258,000 | 1,611,238,357,000 | 1,611,225,071,000 | CONTRIBUTOR | null | My collaborators and I within the Affective Computing team at Telecom Paris would like to push our spoken dialogue dataset for publication. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1712/reactions",
"total_count": 1,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 1
} | https://api.github.com/repos/huggingface/datasets/issues/1712/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1712",
"html_url": "https://github.com/huggingface/datasets/pull/1712",
"diff_url": "https://github.com/huggingface/datasets/pull/1712.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1712.patch",
"merged_at": null
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1711 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1711/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1711/comments | https://api.github.com/repos/huggingface/datasets/issues/1711/events | https://github.com/huggingface/datasets/pull/1711 | 782,129,083 | MDExOlB1bGxSZXF1ZXN0NTUxNzQxODA2 | 1,711 | Fix windows path scheme in cached path | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,113,556,000 | 1,610,357,000,000 | 1,610,356,999,000 | MEMBER | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1711/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1711/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1711",
"html_url": "https://github.com/huggingface/datasets/pull/1711",
"diff_url": "https://github.com/huggingface/datasets/pull/1711.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1711.patch",
"merged_at": 1610356999000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1709 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1709/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1709/comments | https://api.github.com/repos/huggingface/datasets/issues/1709/events | https://github.com/huggingface/datasets/issues/1709 | 781,875,640 | MDU6SXNzdWU3ODE4NzU2NDA= | 1,709 | Databases | {
"login": "JimmyJim1",
"id": 68724553,
"node_id": "MDQ6VXNlcjY4NzI0NTUz",
"avatar_url": "https://avatars.githubusercontent.com/u/68724553?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/JimmyJim1",
"html_url": "https://github.com/JimmyJim1",
"followers_url": "https://api.github.com/users/JimmyJim1/followers",
"following_url": "https://api.github.com/users/JimmyJim1/following{/other_user}",
"gists_url": "https://api.github.com/users/JimmyJim1/gists{/gist_id}",
"starred_url": "https://api.github.com/users/JimmyJim1/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/JimmyJim1/subscriptions",
"organizations_url": "https://api.github.com/users/JimmyJim1/orgs",
"repos_url": "https://api.github.com/users/JimmyJim1/repos",
"events_url": "https://api.github.com/users/JimmyJim1/events{/privacy}",
"received_events_url": "https://api.github.com/users/JimmyJim1/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,086,443,000 | 1,610,096,408,000 | 1,610,096,408,000 | NONE | null | ## 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). | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1709/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1709/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1708 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1708/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1708/comments | https://api.github.com/repos/huggingface/datasets/issues/1708/events | https://github.com/huggingface/datasets/issues/1708 | 781,631,455 | MDU6SXNzdWU3ODE2MzE0NTU= | 1,708 | <html dir="ltr" lang="en" class="focus-outline-visible"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> | {
"login": "Louiejay54",
"id": 77126849,
"node_id": "MDQ6VXNlcjc3MTI2ODQ5",
"avatar_url": "https://avatars.githubusercontent.com/u/77126849?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/Louiejay54",
"html_url": "https://github.com/Louiejay54",
"followers_url": "https://api.github.com/users/Louiejay54/followers",
"following_url": "https://api.github.com/users/Louiejay54/following{/other_user}",
"gists_url": "https://api.github.com/users/Louiejay54/gists{/gist_id}",
"starred_url": "https://api.github.com/users/Louiejay54/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/Louiejay54/subscriptions",
"organizations_url": "https://api.github.com/users/Louiejay54/orgs",
"repos_url": "https://api.github.com/users/Louiejay54/repos",
"events_url": "https://api.github.com/users/Louiejay54/events{/privacy}",
"received_events_url": "https://api.github.com/users/Louiejay54/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,055,924,000 | 1,610,096,401,000 | 1,610,096,401,000 | NONE | null | ## 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). | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1708/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1708/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1707 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1707/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1707/comments | https://api.github.com/repos/huggingface/datasets/issues/1707/events | https://github.com/huggingface/datasets/pull/1707 | 781,507,545 | MDExOlB1bGxSZXF1ZXN0NTUxMjE5MDk2 | 1,707 | Added generated READMEs for datasets that were missing one. | {
"login": "madlag",
"id": 272253,
"node_id": "MDQ6VXNlcjI3MjI1Mw==",
"avatar_url": "https://avatars.githubusercontent.com/u/272253?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/madlag",
"html_url": "https://github.com/madlag",
"followers_url": "https://api.github.com/users/madlag/followers",
"following_url": "https://api.github.com/users/madlag/following{/other_user}",
"gists_url": "https://api.github.com/users/madlag/gists{/gist_id}",
"starred_url": "https://api.github.com/users/madlag/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/madlag/subscriptions",
"organizations_url": "https://api.github.com/users/madlag/orgs",
"repos_url": "https://api.github.com/users/madlag/repos",
"events_url": "https://api.github.com/users/madlag/events{/privacy}",
"received_events_url": "https://api.github.com/users/madlag/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Looks like we need to trim the ones with too many configs, will look into it tomorrow!"
] | 1,610,043,006,000 | 1,610,980,353,000 | 1,610,980,353,000 | MEMBER | null | 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.
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1707/reactions",
"total_count": 2,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 2,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1707/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1707",
"html_url": "https://github.com/huggingface/datasets/pull/1707",
"diff_url": "https://github.com/huggingface/datasets/pull/1707.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1707.patch",
"merged_at": 1610980353000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1705 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1705/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1705/comments | https://api.github.com/repos/huggingface/datasets/issues/1705/events | https://github.com/huggingface/datasets/pull/1705 | 781,474,949 | MDExOlB1bGxSZXF1ZXN0NTUxMTkyMTc4 | 1,705 | Add information about caching and verifications in "Load a Dataset" docs | {
"login": "SBrandeis",
"id": 33657802,
"node_id": "MDQ6VXNlcjMzNjU3ODAy",
"avatar_url": "https://avatars.githubusercontent.com/u/33657802?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/SBrandeis",
"html_url": "https://github.com/SBrandeis",
"followers_url": "https://api.github.com/users/SBrandeis/followers",
"following_url": "https://api.github.com/users/SBrandeis/following{/other_user}",
"gists_url": "https://api.github.com/users/SBrandeis/gists{/gist_id}",
"starred_url": "https://api.github.com/users/SBrandeis/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/SBrandeis/subscriptions",
"organizations_url": "https://api.github.com/users/SBrandeis/orgs",
"repos_url": "https://api.github.com/users/SBrandeis/repos",
"events_url": "https://api.github.com/users/SBrandeis/events{/privacy}",
"received_events_url": "https://api.github.com/users/SBrandeis/received_events",
"type": "User",
"site_admin": false
} | [
{
"id": 1935892861,
"node_id": "MDU6TGFiZWwxOTM1ODkyODYx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/documentation",
"name": "documentation",
"color": "0075ca",
"default": true,
"description": "Improvements or additions to documentation"
}
] | closed | false | null | [] | null | [] | 1,610,039,924,000 | 1,610,460,481,000 | 1,610,460,481,000 | CONTRIBUTOR | null | Related to #215.
Missing improvements from @lhoestq's #1703. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1705/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1705/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1705",
"html_url": "https://github.com/huggingface/datasets/pull/1705",
"diff_url": "https://github.com/huggingface/datasets/pull/1705.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1705.patch",
"merged_at": 1610460481000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1704 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1704/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1704/comments | https://api.github.com/repos/huggingface/datasets/issues/1704/events | https://github.com/huggingface/datasets/pull/1704 | 781,402,757 | MDExOlB1bGxSZXF1ZXN0NTUxMTMyNDI1 | 1,704 | Update XSUM Factuality DatasetCard | {
"login": "vineeths96",
"id": 50873201,
"node_id": "MDQ6VXNlcjUwODczMjAx",
"avatar_url": "https://avatars.githubusercontent.com/u/50873201?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/vineeths96",
"html_url": "https://github.com/vineeths96",
"followers_url": "https://api.github.com/users/vineeths96/followers",
"following_url": "https://api.github.com/users/vineeths96/following{/other_user}",
"gists_url": "https://api.github.com/users/vineeths96/gists{/gist_id}",
"starred_url": "https://api.github.com/users/vineeths96/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/vineeths96/subscriptions",
"organizations_url": "https://api.github.com/users/vineeths96/orgs",
"repos_url": "https://api.github.com/users/vineeths96/repos",
"events_url": "https://api.github.com/users/vineeths96/events{/privacy}",
"received_events_url": "https://api.github.com/users/vineeths96/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,033,834,000 | 1,610,458,204,000 | 1,610,458,204,000 | CONTRIBUTOR | null | Update XSUM Factuality DatasetCard | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1704/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1704/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1704",
"html_url": "https://github.com/huggingface/datasets/pull/1704",
"diff_url": "https://github.com/huggingface/datasets/pull/1704.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1704.patch",
"merged_at": 1610458204000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1703 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1703/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1703/comments | https://api.github.com/repos/huggingface/datasets/issues/1703/events | https://github.com/huggingface/datasets/pull/1703 | 781,395,146 | MDExOlB1bGxSZXF1ZXN0NTUxMTI2MjA5 | 1,703 | Improvements regarding caching and fingerprinting | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"I few comments here for discussion:\r\n- I'm not convinced yet the end user should really have to understand the difference between \"caching\" and 'fingerprinting\", what do you think? I think fingerprinting should probably stay as an internal thing. Is there a case where we want cahing without fingerprinting or vice-versa?\r\n- while I think the random fingerprint mechanism is smart, I have one question: when we disable caching or fingerprinting we also probably don't want the disk usage to grow so we should then try to keep only one cache file. Is it the case currently?\r\n- the warning should be emitted only once per session if possible (we have a mechanism to do that in transformers, you should ask Lysandre/Sylvain)\r\n\r\n",
"About your points:\r\n- Yes I agree, I just wanted to bring the discussion on this point. Until now fingerprinting hasn't been blocking for user experience. I'll probably remove the enable/disable fingerprinting function to keep things simple from the user's perspective.\r\n- Right now every time a not in-place transform (i.e. map, filter) is applied, a new cache file is created. It is the case even if caching is disabled since disabling it only means that the cache file won't be reloaded. Therefore you're right that it might end up filling the disk with files that won't be reused. I like the idea of keeping only one cache file. Currently all the cache files are kept on disk until the user clears the cache. To be able to keep only one, we need to know if a dataset that has been transformed is still loaded or not. For example\r\n```python\r\n# case 1 - keep both cache files (dataset1 and dataset2)\r\ndataset2 = dataset1.map(...)\r\n# case 2 - keep only the new cache file\r\ndataset1 = dataset1.map(...)\r\n```\r\nIn python it doesn't seem trivial to detect such changes. One thing that we can actually do on the other hand is store the cache files in a temporary directory that is cleared when the session closes. I think that's a good a simple solution for this problem.\r\n- Yes good idea ! I don't like spam either :) ",
"> * To be able to keep only one, we need to know if a dataset that has been transformed is still loaded or not. For example\r\n> \r\n> ```python\r\n> # case 1 - keep both cache files (dataset1 and dataset2)\r\n> dataset2 = dataset1.map(...)\r\n> # case 2 - keep only the new cache file\r\n> dataset1 = dataset1.map(...)\r\n> ```\r\n\r\nI see what you mean. It's a tricky question. One option would be that if caching is deactivated we have a single memory mapped file and have copy act as a copy by reference instead of a copy by value. We will then probably want a `copy()` or `deepcopy()` functionality. Maybe we should think a little bit about it though.",
"- I like the idea of using a temporary directory per session!\r\n- If the default behavior when caching is disabled is to re-use the same file, I'm a little worried about people making mistakes and having to re-download and process from scratch.\r\n- So we already have a keyword argument for `dataset1 = dataset1.map(..., in_place=True)`?",
"> * If the default behavior when caching is disabled is to re-use the same file, I'm a little worried about people making mistakes and having to re-download and process from scratch.\r\n\r\nWe should distinguish between the caching from load_dataset (base dataset cache files) and the caching after dataset transforms such as map or filter (transformed dataset cache files). When disabling caching only the second type (for map and filter) doesn't reload from cache files.\r\nTherefore nothing is re-downloaded. To re-download the dataset entirely the argument `download_mode=\"force_redownload\"` must be used in `load_dataset`.\r\nDo we have to think more about the naming to make things less confusing in your opinion ?\r\n\r\n> * So we already have a keyword argument for `dataset1 = dataset1.map(..., in_place=True)`?\r\n\r\nThere's no such `in_place` parameter in map, what do you mean exactly ?",
"I updated the PR:\r\n- I removed the enable/disable fingerprinting function\r\n- if caching is disabled arrow files are written in a temporary directory that is deleted when session closes\r\n- the warning that is showed when hashing a transform fails is only showed once\r\n- I added the `set_caching_enabled` function to the docs and explained the caching mechanism and its relation with fingerprinting\r\n\r\nI would love to have some feedback :) ",
"> > * So we already have a keyword argument for `dataset1 = dataset1.map(..., in_place=True)`?\r\n> \r\n> There's no such `in_place` parameter in map, what do you mean exactly ?\r\n\r\nSorry, that wasn't clear at all. I was responding to your previous comment about case 1 / case 2. I don't think the behavior should depend on the command, but we could have:\r\n\r\n```\r\n# case 1 - keep both cache files (dataset1 and dataset2)\r\ndataset2 = dataset1.map(...)\r\n# case 2 - keep only the new cache file\r\ndataset1 = dataset1.map(..., in_place=True)\r\n```\r\n\r\nCase 1 returns a new reference using the new cache file, case 2 returns the same reference",
"> Sorry, that wasn't clear at all. I was responding to your previous comment about case 1 / case 2. I don't think the behavior should depend on the command, but we could have:\r\n> \r\n> ```\r\n> # case 1 - keep both cache files (dataset1 and dataset2)\r\n> dataset2 = dataset1.map(...)\r\n> # case 2 - keep only the new cache file\r\n> dataset1 = dataset1.map(..., in_place=True)\r\n> ```\r\n> \r\n> Case 1 returns a new reference using the new cache file, case 2 returns the same reference\r\n\r\nOk I see !\r\n`in_place` is a parameter that is used in general to designate a transform so I would name that differently (maybe `overwrite` or something like that).\r\nNot sure if it's possible to update an already existing arrow file that is memory-mapped, let me check real quick.\r\nAlso it's possible to call `dataset2.cleanup_cache_files()` to delete the other cache files if we create a new one after the transform. Or even to get the cache file with `dataset1.cache_files` and let the user remove them by hand.\r\n\r\nEDIT: updating an arrow file in place is not part of the current API of pyarrow, so we would have to make new files.\r\n"
] | 1,610,033,189,000 | 1,611,077,531,000 | 1,611,077,530,000 | MEMBER | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1703/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1703/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1703",
"html_url": "https://github.com/huggingface/datasets/pull/1703",
"diff_url": "https://github.com/huggingface/datasets/pull/1703.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1703.patch",
"merged_at": 1611077530000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1702 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1702/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1702/comments | https://api.github.com/repos/huggingface/datasets/issues/1702/events | https://github.com/huggingface/datasets/pull/1702 | 781,383,277 | MDExOlB1bGxSZXF1ZXN0NTUxMTE2NDc0 | 1,702 | Fix importlib metdata import in py38 | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,032,230,000 | 1,610,102,835,000 | 1,610,102,835,000 | MEMBER | null | In Python 3.8 there's no need to install `importlib_metadata` since it already exists as `importlib.metadata` in the standard lib. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1702/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1702/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1702",
"html_url": "https://github.com/huggingface/datasets/pull/1702",
"diff_url": "https://github.com/huggingface/datasets/pull/1702.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1702.patch",
"merged_at": 1610102834000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1700 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1700/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1700/comments | https://api.github.com/repos/huggingface/datasets/issues/1700/events | https://github.com/huggingface/datasets/pull/1700 | 781,333,589 | MDExOlB1bGxSZXF1ZXN0NTUxMDc1NTg2 | 1,700 | Update Curiosity dialogs DatasetCard | {
"login": "vineeths96",
"id": 50873201,
"node_id": "MDQ6VXNlcjUwODczMjAx",
"avatar_url": "https://avatars.githubusercontent.com/u/50873201?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/vineeths96",
"html_url": "https://github.com/vineeths96",
"followers_url": "https://api.github.com/users/vineeths96/followers",
"following_url": "https://api.github.com/users/vineeths96/following{/other_user}",
"gists_url": "https://api.github.com/users/vineeths96/gists{/gist_id}",
"starred_url": "https://api.github.com/users/vineeths96/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/vineeths96/subscriptions",
"organizations_url": "https://api.github.com/users/vineeths96/orgs",
"repos_url": "https://api.github.com/users/vineeths96/repos",
"events_url": "https://api.github.com/users/vineeths96/events{/privacy}",
"received_events_url": "https://api.github.com/users/vineeths96/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,610,027,967,000 | 1,610,477,492,000 | 1,610,477,492,000 | CONTRIBUTOR | null | Update Curiosity dialogs DatasetCard
There are some entries in the data fields section yet to be filled. There is little information regarding those fields. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1700/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1700/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1700",
"html_url": "https://github.com/huggingface/datasets/pull/1700",
"diff_url": "https://github.com/huggingface/datasets/pull/1700.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1700.patch",
"merged_at": 1610477492000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1699 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1699/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1699/comments | https://api.github.com/repos/huggingface/datasets/issues/1699/events | https://github.com/huggingface/datasets/pull/1699 | 781,271,558 | MDExOlB1bGxSZXF1ZXN0NTUxMDIzODE5 | 1,699 | Update DBRD dataset card and download URL | {
"login": "benjaminvdb",
"id": 8875786,
"node_id": "MDQ6VXNlcjg4NzU3ODY=",
"avatar_url": "https://avatars.githubusercontent.com/u/8875786?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/benjaminvdb",
"html_url": "https://github.com/benjaminvdb",
"followers_url": "https://api.github.com/users/benjaminvdb/followers",
"following_url": "https://api.github.com/users/benjaminvdb/following{/other_user}",
"gists_url": "https://api.github.com/users/benjaminvdb/gists{/gist_id}",
"starred_url": "https://api.github.com/users/benjaminvdb/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/benjaminvdb/subscriptions",
"organizations_url": "https://api.github.com/users/benjaminvdb/orgs",
"repos_url": "https://api.github.com/users/benjaminvdb/repos",
"events_url": "https://api.github.com/users/benjaminvdb/events{/privacy}",
"received_events_url": "https://api.github.com/users/benjaminvdb/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"not sure why the CI was not triggered though"
] | 1,610,021,803,000 | 1,610,026,899,000 | 1,610,026,859,000 | CONTRIBUTOR | null | 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! 😄 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1699/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1699/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1699",
"html_url": "https://github.com/huggingface/datasets/pull/1699",
"diff_url": "https://github.com/huggingface/datasets/pull/1699.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1699.patch",
"merged_at": 1610026859000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1698 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1698/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1698/comments | https://api.github.com/repos/huggingface/datasets/issues/1698/events | https://github.com/huggingface/datasets/pull/1698 | 781,152,561 | MDExOlB1bGxSZXF1ZXN0NTUwOTI0ODQ3 | 1,698 | Update Coached Conv Pref DatasetCard | {
"login": "vineeths96",
"id": 50873201,
"node_id": "MDQ6VXNlcjUwODczMjAx",
"avatar_url": "https://avatars.githubusercontent.com/u/50873201?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/vineeths96",
"html_url": "https://github.com/vineeths96",
"followers_url": "https://api.github.com/users/vineeths96/followers",
"following_url": "https://api.github.com/users/vineeths96/following{/other_user}",
"gists_url": "https://api.github.com/users/vineeths96/gists{/gist_id}",
"starred_url": "https://api.github.com/users/vineeths96/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/vineeths96/subscriptions",
"organizations_url": "https://api.github.com/users/vineeths96/orgs",
"repos_url": "https://api.github.com/users/vineeths96/repos",
"events_url": "https://api.github.com/users/vineeths96/events{/privacy}",
"received_events_url": "https://api.github.com/users/vineeths96/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Really cool!\r\n\r\nCan you add some task tags for `dialogue-modeling` (under `sequence-modeling`) and `parsing` (under `structured-prediction`)?"
] | 1,610,010,436,000 | 1,610,125,473,000 | 1,610,125,472,000 | CONTRIBUTOR | null | Update Coached Conversation Preferance DatasetCard | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1698/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1698/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1698",
"html_url": "https://github.com/huggingface/datasets/pull/1698",
"diff_url": "https://github.com/huggingface/datasets/pull/1698.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1698.patch",
"merged_at": 1610125472000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1697 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1697/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1697/comments | https://api.github.com/repos/huggingface/datasets/issues/1697/events | https://github.com/huggingface/datasets/pull/1697 | 781,126,579 | MDExOlB1bGxSZXF1ZXN0NTUwOTAzNzI5 | 1,697 | Update DialogRE DatasetCard | {
"login": "vineeths96",
"id": 50873201,
"node_id": "MDQ6VXNlcjUwODczMjAx",
"avatar_url": "https://avatars.githubusercontent.com/u/50873201?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/vineeths96",
"html_url": "https://github.com/vineeths96",
"followers_url": "https://api.github.com/users/vineeths96/followers",
"following_url": "https://api.github.com/users/vineeths96/following{/other_user}",
"gists_url": "https://api.github.com/users/vineeths96/gists{/gist_id}",
"starred_url": "https://api.github.com/users/vineeths96/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/vineeths96/subscriptions",
"organizations_url": "https://api.github.com/users/vineeths96/orgs",
"repos_url": "https://api.github.com/users/vineeths96/repos",
"events_url": "https://api.github.com/users/vineeths96/events{/privacy}",
"received_events_url": "https://api.github.com/users/vineeths96/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Same as #1698, can you add a task tag for dialogue-modeling (under sequence-modeling) :) ?"
] | 1,610,007,753,000 | 1,610,026,468,000 | 1,610,026,468,000 | CONTRIBUTOR | null | Update the information in the dataset card for the Dialog RE dataset. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1697/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1697/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1697",
"html_url": "https://github.com/huggingface/datasets/pull/1697",
"diff_url": "https://github.com/huggingface/datasets/pull/1697.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1697.patch",
"merged_at": 1610026468000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1696 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1696/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1696/comments | https://api.github.com/repos/huggingface/datasets/issues/1696/events | https://github.com/huggingface/datasets/issues/1696 | 781,096,918 | MDU6SXNzdWU3ODEwOTY5MTg= | 1,696 | Unable to install datasets | {
"login": "glee2429",
"id": 12635475,
"node_id": "MDQ6VXNlcjEyNjM1NDc1",
"avatar_url": "https://avatars.githubusercontent.com/u/12635475?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/glee2429",
"html_url": "https://github.com/glee2429",
"followers_url": "https://api.github.com/users/glee2429/followers",
"following_url": "https://api.github.com/users/glee2429/following{/other_user}",
"gists_url": "https://api.github.com/users/glee2429/gists{/gist_id}",
"starred_url": "https://api.github.com/users/glee2429/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/glee2429/subscriptions",
"organizations_url": "https://api.github.com/users/glee2429/orgs",
"repos_url": "https://api.github.com/users/glee2429/repos",
"events_url": "https://api.github.com/users/glee2429/events{/privacy}",
"received_events_url": "https://api.github.com/users/glee2429/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Maybe try to create a virtual env with python 3.8 or 3.7",
"Thanks, @thomwolf! I fixed the issue by downgrading python to 3.7. ",
"Damn sorry",
"Damn sorry"
] | 1,610,004,277,000 | 1,610,065,985,000 | 1,610,057,165,000 | NONE | null | ** 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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/openssl@1.1/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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/openssl@1.1/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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/python@3.9/3.9.0_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/openssl@1.1/include -I/usr/local/opt/sqlite/include -I/Users/destiny/Downloads/env/include -I/usr/local/Cellar/python@3.9/3.9.0_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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1696/reactions",
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1696/timeline | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1695 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1695/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1695/comments | https://api.github.com/repos/huggingface/datasets/issues/1695/events | https://github.com/huggingface/datasets/pull/1695 | 780,971,987 | MDExOlB1bGxSZXF1ZXN0NTUwNzc1OTU4 | 1,695 | fix ner_tag bugs in thainer | {
"login": "cstorm125",
"id": 15519308,
"node_id": "MDQ6VXNlcjE1NTE5MzA4",
"avatar_url": "https://avatars.githubusercontent.com/u/15519308?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/cstorm125",
"html_url": "https://github.com/cstorm125",
"followers_url": "https://api.github.com/users/cstorm125/followers",
"following_url": "https://api.github.com/users/cstorm125/following{/other_user}",
"gists_url": "https://api.github.com/users/cstorm125/gists{/gist_id}",
"starred_url": "https://api.github.com/users/cstorm125/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/cstorm125/subscriptions",
"organizations_url": "https://api.github.com/users/cstorm125/orgs",
"repos_url": "https://api.github.com/users/cstorm125/repos",
"events_url": "https://api.github.com/users/cstorm125/events{/privacy}",
"received_events_url": "https://api.github.com/users/cstorm125/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"> Thanks :)\r\n> \r\n> Apparently the dummy_data.zip got removed. Is this expected ?\r\n> Also can you remove the `data-pos.conll` file that you added ?\r\n\r\nNot expected. I forgot to remove the `dummy_data` folder used to create `dummy_data.zip`. \r\nChanged to only `dummy_data.zip`."
] | 1,609,985,553,000 | 1,610,030,625,000 | 1,610,030,608,000 | CONTRIBUTOR | null | fix bug that results in `ner_tag` always equal to 'O'. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1695/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1695/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1695",
"html_url": "https://github.com/huggingface/datasets/pull/1695",
"diff_url": "https://github.com/huggingface/datasets/pull/1695.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1695.patch",
"merged_at": 1610030608000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1694 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1694/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1694/comments | https://api.github.com/repos/huggingface/datasets/issues/1694/events | https://github.com/huggingface/datasets/pull/1694 | 780,429,080 | MDExOlB1bGxSZXF1ZXN0NTUwMzI0Mjcx | 1,694 | Add OSCAR | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [
"Hi @lhoestq, on the OSCAR dataset, the document boundaries are defined by an empty line. Are there any chances to keep this empty line or explicitly group the sentences of a document? I'm asking for this 'cause I need to know if some sentences belong to the same document on my current OSCAR dataset usage.",
"Indeed currently it yields one example per line and ignore the empty lines.\r\nMaybe the best is to group them by paragraph then, and yield one example when an empty line is found.\r\nWhat do you think ?",
"I think to group them is the best choice indeed, I actually did this on [brwac](https://github.com/huggingface/datasets/tree/master/datasets/brwac) dataset too, it's another huge textual dataset.",
"Ok I just launched the computation of the dataset_infos.json again by grouping lines in paragraphs.\r\nThe new _generate_examples is\r\n```python\r\n def _generate_examples(self, filepaths):\r\n \"\"\"This function returns the examples in the raw (text) form.\"\"\"\r\n id_ = 0\r\n current_lines = []\r\n for filepath in filepaths:\r\n logging.info(\"generating examples from = %s\", filepath)\r\n with gzip.open(filepath, \"rt\") as f:\r\n for line in f:\r\n if len(line.strip()) > 0:\r\n current_lines.append(line)\r\n else:\r\n feature = id_, {\"id\": id_, \"text\": \"\".join(current_lines)}\r\n yield feature\r\n id_ += 1\r\n current_lines = []\r\n # last paragraph\r\n if current_lines:\r\n feature = id_, {\"id\": id_, \"text\": \"\".join(current_lines)}\r\n yield feature\r\n```",
"Is there any chance to also keep the sentences raw (without the `\"\".join()`)?. This is useful if you wanna train models where one of the tasks you perform is document sentence permutation... that's my case :)",
"They are raw in the sense that nothing is changed from the raw file for each paragraph.\r\nYou can split sentences on new lines `\\n` for example.\r\n\r\nThe first example for the unshuffled deduplicated english is going to be \r\n> Mtendere Village was inspired by the vision of Chief Napoleon Dzombe, which he shared with John Blanchard during his first visit to Malawi. Chief Napoleon conveyed the desperate need for a program to intervene and care for the orphans and vulnerable children (OVC) in Malawi, and John committed to help.\r\n> Established in honor of John & Lindy’s son, Christopher Blanchard, this particular program is very dear to the Blanchard family. Dana Blanchard, or Mama Dana as she is more commonly referred to at Mtendere, lived on site during the initial development, and she returns each summer to spend the season with her Malawian family. The heart of the program is to be His hands and feet by caring for the children at Mtendere, and meeting their spiritual, physical, academic, and emotional needs.\r\n> [...]\r\n> 100X Development Foundation, Inc. is registered 503 (c)(3) nonprofit organization. Donations are deductable to the full extent allowable under IRS regulations.",
"I thought the line reader would omit the `\\n` character. I can easily split the sentences as you suggested. Thanks @lhoestq! 😃 ",
"The recomputation of the metadata finished a few days ago, I'll update the PR soon :) ",
"Let me know if you have comments @pjox @jonatasgrosman :) \r\n\r\nOtherwise we can merge it",
"Everything seems fine to me 😄 "
] | 1,609,928,468,000 | 1,611,565,833,000 | 1,611,565,832,000 | MEMBER | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1694/reactions",
"total_count": 2,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 2,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1694/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1694",
"html_url": "https://github.com/huggingface/datasets/pull/1694",
"diff_url": "https://github.com/huggingface/datasets/pull/1694.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1694.patch",
"merged_at": 1611565832000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1693 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1693/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1693/comments | https://api.github.com/repos/huggingface/datasets/issues/1693/events | https://github.com/huggingface/datasets/pull/1693 | 780,268,595 | MDExOlB1bGxSZXF1ZXN0NTUwMTc3MDEx | 1,693 | Fix reuters metadata parsing errors | {
"login": "jbragg",
"id": 2238344,
"node_id": "MDQ6VXNlcjIyMzgzNDQ=",
"avatar_url": "https://avatars.githubusercontent.com/u/2238344?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/jbragg",
"html_url": "https://github.com/jbragg",
"followers_url": "https://api.github.com/users/jbragg/followers",
"following_url": "https://api.github.com/users/jbragg/following{/other_user}",
"gists_url": "https://api.github.com/users/jbragg/gists{/gist_id}",
"starred_url": "https://api.github.com/users/jbragg/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/jbragg/subscriptions",
"organizations_url": "https://api.github.com/users/jbragg/orgs",
"repos_url": "https://api.github.com/users/jbragg/repos",
"events_url": "https://api.github.com/users/jbragg/events{/privacy}",
"received_events_url": "https://api.github.com/users/jbragg/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,609,921,563,000 | 1,610,063,627,000 | 1,610,028,082,000 | CONTRIBUTOR | null | Was missing the last entry in each metadata category | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1693/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1693/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1693",
"html_url": "https://github.com/huggingface/datasets/pull/1693",
"diff_url": "https://github.com/huggingface/datasets/pull/1693.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1693.patch",
"merged_at": 1610028082000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1691 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1691/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1691/comments | https://api.github.com/repos/huggingface/datasets/issues/1691/events | https://github.com/huggingface/datasets/pull/1691 | 779,882,271 | MDExOlB1bGxSZXF1ZXN0NTQ5ODE3NTM0 | 1,691 | Updated HuggingFace Datasets README (fix typos) | {
"login": "8bitmp3",
"id": 19637339,
"node_id": "MDQ6VXNlcjE5NjM3MzM5",
"avatar_url": "https://avatars.githubusercontent.com/u/19637339?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/8bitmp3",
"html_url": "https://github.com/8bitmp3",
"followers_url": "https://api.github.com/users/8bitmp3/followers",
"following_url": "https://api.github.com/users/8bitmp3/following{/other_user}",
"gists_url": "https://api.github.com/users/8bitmp3/gists{/gist_id}",
"starred_url": "https://api.github.com/users/8bitmp3/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/8bitmp3/subscriptions",
"organizations_url": "https://api.github.com/users/8bitmp3/orgs",
"repos_url": "https://api.github.com/users/8bitmp3/repos",
"events_url": "https://api.github.com/users/8bitmp3/events{/privacy}",
"received_events_url": "https://api.github.com/users/8bitmp3/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,609,899,278,000 | 1,610,839,847,000 | 1,610,013,992,000 | CONTRIBUTOR | null | Awesome work on 🤗 Datasets. I found a couple of small typos in the README. Hope this helps.
| {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1691/reactions",
"total_count": 1,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 1,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1691/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1691",
"html_url": "https://github.com/huggingface/datasets/pull/1691",
"diff_url": "https://github.com/huggingface/datasets/pull/1691.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1691.patch",
"merged_at": 1610013992000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1690 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1690/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1690/comments | https://api.github.com/repos/huggingface/datasets/issues/1690/events | https://github.com/huggingface/datasets/pull/1690 | 779,441,631 | MDExOlB1bGxSZXF1ZXN0NTQ5NDEwOTgw | 1,690 | Fast start up | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,609,873,673,000 | 1,609,942,859,000 | 1,609,942,858,000 | MEMBER | null | 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`. | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1690/reactions",
"total_count": 3,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 3,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1690/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1690",
"html_url": "https://github.com/huggingface/datasets/pull/1690",
"diff_url": "https://github.com/huggingface/datasets/pull/1690.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1690.patch",
"merged_at": 1609942858000
} | true |
https://api.github.com/repos/huggingface/datasets/issues/1689 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1689/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1689/comments | https://api.github.com/repos/huggingface/datasets/issues/1689/events | https://github.com/huggingface/datasets/pull/1689 | 779,107,313 | MDExOlB1bGxSZXF1ZXN0NTQ5MTEwMDgw | 1,689 | Fix ade_corpus_v2 config names | {
"login": "lhoestq",
"id": 42851186,
"node_id": "MDQ6VXNlcjQyODUxMTg2",
"avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/lhoestq",
"html_url": "https://github.com/lhoestq",
"followers_url": "https://api.github.com/users/lhoestq/followers",
"following_url": "https://api.github.com/users/lhoestq/following{/other_user}",
"gists_url": "https://api.github.com/users/lhoestq/gists{/gist_id}",
"starred_url": "https://api.github.com/users/lhoestq/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/lhoestq/subscriptions",
"organizations_url": "https://api.github.com/users/lhoestq/orgs",
"repos_url": "https://api.github.com/users/lhoestq/repos",
"events_url": "https://api.github.com/users/lhoestq/events{/privacy}",
"received_events_url": "https://api.github.com/users/lhoestq/received_events",
"type": "User",
"site_admin": false
} | [] | closed | false | null | [] | null | [] | 1,609,857,208,000 | 1,609,858,509,000 | 1,609,858,508,000 | MEMBER | null | 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 | {
"url": "https://api.github.com/repos/huggingface/datasets/issues/1689/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} | https://api.github.com/repos/huggingface/datasets/issues/1689/timeline | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1689",
"html_url": "https://github.com/huggingface/datasets/pull/1689",
"diff_url": "https://github.com/huggingface/datasets/pull/1689.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/1689.patch",
"merged_at": 1609858508000
} | true |