pytorch_nlp-0.3.7.dist-info/METADATA,sha256=xqs4-INBZ_cC3MLbo_0_pBpL8l_K9r9URWCCPVn91LU,7507
pytorch_nlp-0.3.7.dist-info/RECORD,,
pytorch_nlp-0.3.7.dist-info/WHEEL,sha256=NzFAKnL7g-U64xnS1s5e3mJnxKpOTeOtlXdFwS9yNXI,92
pytorch_nlp-0.3.7.dist-info/top_level.txt,sha256=2rtt4jcb--y0UFB8W39-d_2JffwqynQmTVGdWoJ4b4w,9
pytorch_nlp-0.3.7.dist-info/zip-safe,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1
torchnlp/__init__.py,sha256=MZROqMwVP4JA-LXfTOR7mgacQSXDOlHt1eBZRUHPRnc,22
torchnlp/download.py,sha256=Z-H5fdzlBpaJjBX4CiQydsnUqR61PRCjr5CZeeupTEk,6596
torchnlp/encoder.py,sha256=hEZbJSZa2ggAOiI056YosZVwQfw_1t0yyXpcZMBaSCg,1152
torchnlp/label_encoder.py,sha256=TN2hXyHWJJmOCBELshJbmTs6FUOC3xnN066smWkIn1k,1829
torchnlp/utils.py,sha256=3qiknwoSd2QIeJ2oB6Ix3BnOFIJjDQHyUIKskQawhW8,5787
torchnlp/datasets/__init__.py,sha256=Ba7aFInnmf2zX6GfwCuid3ISZEGc1SaDFSeinj_lW0Q,1115
torchnlp/datasets/count.py,sha256=Nunj-slujEKNnAekwYrFepwepyu1n8fEKZa8bUHc3F0,2450
torchnlp/datasets/dataset.py,sha256=1W_F0EFb2vbLENlpff6LbLePCd7JXjFLIsTTCfwvAB0,3534
torchnlp/datasets/imdb.py,sha256=NNHkUsKuRlk5tCT8Oe7_gKT9wAWUfYDyX24YnpqOp3M,3342
torchnlp/datasets/iwslt.py,sha256=tobxPMXW3LsNHj82PJdPYtBRyks1krk5yAn-a3k2Q6c,6530
torchnlp/datasets/multi30k.py,sha256=bWFibUyOQDMUVLezgcsll0M2deB151RpwQMVGs0JWZI,4333
torchnlp/datasets/penn_treebank.py,sha256=rGIoXKj6OvfXEITNqW2HSnU5OQyWsOo7Z9E53-_ounM,3092
torchnlp/datasets/reverse.py,sha256=QhVeqA_-mxhcKqV-O3F2TUTTjBTonzezzL5Fdc5cAGU,2541
torchnlp/datasets/simple_qa.py,sha256=m3dXhArWz48hbz6OWwf-Niem4fjemRpcGzaXpaHl3AA,3757
torchnlp/datasets/smt.py,sha256=V2Xgreq7AFSWzbN_-U3HFGL1U0wsxWtdKuQO69jEq7E,4817
torchnlp/datasets/snli.py,sha256=Fbx2HcGDhnniS4xw7EmkRgN-leka38-wX7qNFdO3uz0,4255
torchnlp/datasets/trec.py,sha256=BdyqajER-iRK90GYEIxtU-aDB0UIvtkKfVtlqCfsmNw,3227
torchnlp/datasets/ud_pos.py,sha256=9CnyW6dPsCXvd0tdSGkebmaHL_hbbrpoVLiFC9Q__xE,4032
torchnlp/datasets/wikitext_2.py,sha256=7vSgS0gvkDZnvIp_TitPiP3y0XYe1rUBeTR6frD5UyE,2947
torchnlp/datasets/wmt.py,sha256=k4ezUMKXwSKcBQ1hqYUNw7aWTa5kdNrdeYqBx6u47Z0,4089
torchnlp/datasets/zero.py,sha256=M7_0j3DsTbT8zQMnMmZk3XmIZ3xQMZ-USYCI4d2E8Ho,1764
torchnlp/metrics/__init__.py,sha256=Dl7vGrBG2AY6VUc89L9gQm9XmeBRZH1MjN__us3hYUw,607
torchnlp/metrics/accuracy.py,sha256=RGeaOW1x4DyEPiQaJrS01KYh3dWSoOuIn4YNBzs93cg,3439
torchnlp/metrics/bleu.py,sha256=5cUbb5WaG3kEvbXVwyKUhH56aH1wNYk4omfMg0uKJ8M,3631
torchnlp/nn/__init__.py,sha256=NTuLE0nJnXSb49Upqjba7kd3k9ieB-yrFsK8LEZ4mg8,593
torchnlp/nn/attention.py,sha256=0rxX6pXeX68hMExv0pmbZBMd9cQJjrcaAwmRWWf8C7Q,3717
torchnlp/nn/cnn_encoder.py,sha256=G3iXMnWjcS2Stf44E28oXOwS6wo0l9NqLXii6LeOVn0,5905
torchnlp/nn/lock_dropout.py,sha256=Miz0tHH9jRzcF68UDMFssudJPkPXY5cLEVykqRNcH0M,2730
torchnlp/nn/sru.py,sha256=9pC9YYadn4FQ5kjIxwDNFJDSAvn1t1JGrWa6-hjrBv4,20741
torchnlp/nn/weight_drop.py,sha256=dLSovYHeNMDWPrZnTEzanrEg9Tc4RSa_9JpzlR1ieyg,3339
torchnlp/samplers/__init__.py,sha256=B9j9Oug0xvkyh954RFAzqFOuyoK3bgjgaJnHA9Pp1Zg,662
torchnlp/samplers/bptt_batch_sampler.py,sha256=hgufyHmt3bDt3ssVaIBWoSuXdt5e_oqzpecNTKqCGsk,2915
torchnlp/samplers/bptt_sampler.py,sha256=jKDE_taKiqqGmCLCmnJ3N4CJDwgZxZZHKrcmjdTw-mM,1387
torchnlp/samplers/bucket_batch_sampler.py,sha256=qtzQ3fOIVTmNPy1w2cUVItRd9b5a4KkXU6lEJu1zm3s,5190
torchnlp/samplers/noisy_sorted_batch_sampler.py,sha256=VEa3J3mrGKLOD_RLvoAGlAeNuoYeAf-swGlNkSl3NNo,3447
torchnlp/samplers/noisy_sorted_sampler.py,sha256=wOr01Fzsi3dQCS1c2REayfd8GNJ-K3FMRyII03odmms,1445
torchnlp/samplers/shuffle_batch_sampler.py,sha256=Rse6WfKnpWu3etw8ZHjizYSeoczWPRgRfQTdjefG6gI,1274
torchnlp/samplers/sorted_sampler.py,sha256=RUO9nydBJcPvAZSrvfFxr4WNyVfCms1QWqD5rUwqsAs,940
torchnlp/text_encoders/__init__.py,sha256=wZlk-UOc8tF7ISmPLWNsHBYmS2PwmOG5-3jXRkvbIic,1663
torchnlp/text_encoders/character_encoder.py,sha256=zF3IxqTXSlfhhGoPH-ZQQ4tHKmN5oP8zOtnBdmy_d1E,913
torchnlp/text_encoders/delimiter_encoder.py,sha256=ps4c_NyiC02gYFls-G4N9IYdJEJrBQJz8rgSITByxq4,1764
torchnlp/text_encoders/identity_encoder.py,sha256=YwHJgy71vL1ylhrPhDzQ42K1PF54czyQgbxUDEmPTC8,1341
torchnlp/text_encoders/moses_encoder.py,sha256=tZQm2n7aSmbuihBv09vxtw6ltre8d4lRvMEjsbkxY_o,1777
torchnlp/text_encoders/reserved_tokens.py,sha256=1QwlXXsl65fOS2YhHNd6Yl1rFE2zZvUrHvVlRjhvpeI,410
torchnlp/text_encoders/spacy_encoder.py,sha256=fiVXCcdFGW9cVn7D3PKuCSik4_ImEnaDYpOrR75uV2s,3214
torchnlp/text_encoders/static_tokenizer_encoder.py,sha256=279t3o-1HsF0CWE8BvRXyty4PUsUHqBs-djXKiQZKzY,2697
torchnlp/text_encoders/subword_encoder.py,sha256=qKqq5vN1WYVpPgLSy9TGO5K8GpeY84pDp6gcd1BM4_Y,3022
torchnlp/text_encoders/subword_text_tokenizer.py,sha256=T4fnyiht4K9a3ML5ABMOJiIAJ4Pk6O7Kz0isrK80iTs,16501
torchnlp/text_encoders/treebank_encoder.py,sha256=ElRpzCaQ3cwnoWm_Iu0huePrXtHre1mZyf2FDlse99U,1932
torchnlp/text_encoders/whitespace_encoder.py,sha256=qe9pfWT7CrvQ2vZSPEecaQsdcrt8LdRKZg24DalRBAc,1467
torchnlp/word_to_vector/__init__.py,sha256=6uOuln2jl_DBFU4dpNzTZJ_QpAm8oWXn-y494FgZCLc,327
torchnlp/word_to_vector/aliases.py,sha256=c9m4fHIK4SQIEsizShKBuYWRLzq5IfAN9Vrz2te9NcU,1034
torchnlp/word_to_vector/bpemb.py,sha256=oDbro6ZKFO3XAjBOOVlThC2XznmEfuuGQi7cDAMHxas,5404
torchnlp/word_to_vector/char_n_gram.py,sha256=hpTIOCkgJkAKBLh_jBs3IeBzpDi-DSB7TMTzSIYHXBY,4564
torchnlp/word_to_vector/fast_text.py,sha256=3xWQV8HZgi1IGPrYZBHGUIaZ9lQYUA8KFPBSTUcPfhc,3906
torchnlp/word_to_vector/glove.py,sha256=w50Mqkcprd4ufvbtlPnqYlvffDDgdjd3B9wpgimLzZs,3523
torchnlp/word_to_vector/pretrained_word_vectors.py,sha256=qCLZ60W77EdhGTXvyIhTg9X5ZKTMzFPX-J8QP09D_2U,7666
