repo_id stringclasses 400
values | commit_sha stringclasses 400
values | commit_index int32 0 951 | in_repo_split stringclasses 1
value | cross_repo_split stringclasses 1
value | test_file stringlengths 7 121 | test_function stringlengths 1 108 | assertion_type stringclasses 32
values | difficulty stringclasses 8
values | context_lines int32 3 600 | prefix large_stringlengths 44 113k | target large_stringlengths 1 498 | anchor_sha stringclasses 400
values | anchor_index int32 0 951 | qna_source stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/ocr-numbers/ocr_numbers_test.py | test_recognizes_1 | self.assertEqual | string_literal | 11 | import unittest
from ocr_numbers import (
convert,
)
class OcrNumbersTest(unittest.TestCase):
def test_recognizes_1(self):
self.assertEqual(convert([" ", " |", " |", " "]), | "1") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/ocr-numbers/ocr_numbers_test.py | test_unreadable_but_correctly_sized_inputs_return | self.assertEqual | string_literal | 11 | import unittest
from ocr_numbers import (
convert,
)
class OcrNumbersTest(unittest.TestCase):
def test_unreadable_but_correctly_sized_inputs_return(self):
self.assertEqual(convert([" ", " _", " |", " "]), | "?") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/ocr-numbers/ocr_numbers_test.py | test_recognizes_2 | self.assertEqual | string_literal | 11 | import unittest
from ocr_numbers import (
convert,
)
class OcrNumbersTest(unittest.TestCase):
def test_recognizes_2(self):
self.assertEqual(convert([" _ ", " _|", "|_ ", " "]), | "2") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/ocr-numbers/ocr_numbers_test.py | test_recognizes_3 | self.assertEqual | string_literal | 11 | import unittest
from ocr_numbers import (
convert,
)
class OcrNumbersTest(unittest.TestCase):
def test_recognizes_3(self):
self.assertEqual(convert([" _ ", " _|", " _|", " "]), | "3") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/ocr-numbers/ocr_numbers_test.py | test_recognizes_4 | self.assertEqual | string_literal | 11 | import unittest
from ocr_numbers import (
convert,
)
class OcrNumbersTest(unittest.TestCase):
def test_recognizes_4(self):
self.assertEqual(convert([" ", "|_|", " |", " "]), | "4") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/ocr-numbers/ocr_numbers_test.py | test_recognizes_5 | self.assertEqual | string_literal | 11 | import unittest
from ocr_numbers import (
convert,
)
class OcrNumbersTest(unittest.TestCase):
def test_recognizes_5(self):
self.assertEqual(convert([" _ ", "|_ ", " _|", " "]), | "5") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/ocr-numbers/ocr_numbers_test.py | test_recognizes_6 | self.assertEqual | string_literal | 11 | import unittest
from ocr_numbers import (
convert,
)
class OcrNumbersTest(unittest.TestCase):
def test_recognizes_6(self):
self.assertEqual(convert([" _ ", "|_ ", "|_|", " "]), | "6") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/ocr-numbers/ocr_numbers_test.py | test_recognizes_7 | self.assertEqual | string_literal | 11 | import unittest
from ocr_numbers import (
convert,
)
class OcrNumbersTest(unittest.TestCase):
def test_recognizes_7(self):
self.assertEqual(convert([" _ ", " |", " |", " "]), | "7") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/ocr-numbers/ocr_numbers_test.py | test_recognizes_8 | self.assertEqual | string_literal | 11 | import unittest
from ocr_numbers import (
convert,
)
class OcrNumbersTest(unittest.TestCase):
def test_recognizes_8(self):
self.assertEqual(convert([" _ ", "|_|", "|_|", " "]), | "8") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/ocr-numbers/ocr_numbers_test.py | test_recognizes_9 | self.assertEqual | string_literal | 11 | import unittest
from ocr_numbers import (
convert,
)
class OcrNumbersTest(unittest.TestCase):
def test_recognizes_9(self):
self.assertEqual(convert([" _ ", "|_|", " _|", " "]), | "9") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/raindrops/raindrops_test.py | test_the_sound_for_1_is_1 | self.assertEqual | string_literal | 10 | import unittest
from raindrops import (
convert,
)
class RaindropsTest(unittest.TestCase):
def test_the_sound_for_1_is_1(self):
self.assertEqual(convert(1), | "1") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/raindrops/raindrops_test.py | test_2_to_the_power_3_does_not_make_a_raindrop_sound_as_3_is_the_exponent_not_the_base | self.assertEqual | string_literal | 13 | import unittest
from raindrops import (
convert,
)
class RaindropsTest(unittest.TestCase):
def test_2_to_the_power_3_does_not_make_a_raindrop_sound_as_3_is_the_exponent_not_the_base(
self,
):
self.assertEqual(convert(8), | "8") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/rna-transcription/rna_transcription_test.py | test_rna_complement_of_cytosine_is_guanine | self.assertEqual | string_literal | 11 | import unittest
from rna_transcription import (
to_rna,
)
class RnaTranscriptionTest(unittest.TestCase):
def test_rna_complement_of_cytosine_is_guanine(self):
self.assertEqual(to_rna("C"), | "G") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/rna-transcription/rna_transcription_test.py | test_rna_complement_of_guanine_is_cytosine | self.assertEqual | string_literal | 11 | import unittest
from rna_transcription import (
to_rna,
)
class RnaTranscriptionTest(unittest.TestCase):
def test_rna_complement_of_guanine_is_cytosine(self):
self.assertEqual(to_rna("G"), | "C") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/rna-transcription/rna_transcription_test.py | test_rna_complement_of_thymine_is_adenine | self.assertEqual | string_literal | 11 | import unittest
from rna_transcription import (
to_rna,
)
class RnaTranscriptionTest(unittest.TestCase):
def test_rna_complement_of_thymine_is_adenine(self):
self.assertEqual(to_rna("T"), | "A") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/rna-transcription/rna_transcription_test.py | test_rna_complement_of_adenine_is_uracil | self.assertEqual | string_literal | 11 | import unittest
from rna_transcription import (
to_rna,
)
class RnaTranscriptionTest(unittest.TestCase):
def test_rna_complement_of_adenine_is_uracil(self):
self.assertEqual(to_rna("A"), | "U") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/roman-numerals/roman_numerals_test.py | test_1_is_i | self.assertEqual | string_literal | 10 | import unittest
from roman_numerals import (
roman,
)
class RomanNumeralsTest(unittest.TestCase):
def test_1_is_i(self):
self.assertEqual(roman(1), | "I") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/roman-numerals/roman_numerals_test.py | test_5_is_v | self.assertEqual | string_literal | 11 | import unittest
from roman_numerals import (
roman,
)
class RomanNumeralsTest(unittest.TestCase):
def test_5_is_v(self):
self.assertEqual(roman(5), | "V") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/rotational-cipher/rotational_cipher_test.py | test_rotate_a_by_0_same_output_as_input | self.assertEqual | string_literal | 10 | import unittest
from rotational_cipher import (
rotate,
)
class RotationalCipherTest(unittest.TestCase):
def test_rotate_a_by_0_same_output_as_input(self):
self.assertEqual(rotate("a", 0), | "a") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/rotational-cipher/rotational_cipher_test.py | test_rotate_a_by_1 | self.assertEqual | string_literal | 11 | import unittest
from rotational_cipher import (
rotate,
)
class RotationalCipherTest(unittest.TestCase):
def test_rotate_a_by_1(self):
self.assertEqual(rotate("a", 1), | "b") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/rotational-cipher/rotational_cipher_test.py | test_rotate_m_by_13 | self.assertEqual | string_literal | 11 | import unittest
from rotational_cipher import (
rotate,
)
class RotationalCipherTest(unittest.TestCase):
def test_rotate_m_by_13(self):
self.assertEqual(rotate("m", 13), | "z") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/acronym/acronym_test.py | test_apostrophes | self.assertEqual | string_literal | 11 | import unittest
from acronym import (
abbreviate,
)
class AcronymTest(unittest.TestCase):
def test_apostrophes(self):
self.assertEqual(abbreviate("Halley's Comet"), | "HC") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/affine-cipher/affine_cipher_test.py | test_encode_no | self.assertEqual | string_literal | 12 | import unittest
from affine_cipher import (
decode,
encode,
)
class AffineCipherTest(unittest.TestCase):
def test_encode_no(self):
self.assertEqual(encode("no", 15, 18), | "fu") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/atbash-cipher/atbash_cipher_test.py | test_encode_no | self.assertEqual | string_literal | 12 | import unittest
from atbash_cipher import (
decode,
encode,
)
class AtbashCipherTest(unittest.TestCase):
def test_encode_no(self):
self.assertEqual(encode("no"), | "ml") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/raindrops/raindrops_test.py | test_the_sound_for_52_is_52 | self.assertEqual | string_literal | 11 | import unittest
from raindrops import (
convert,
)
class RaindropsTest(unittest.TestCase):
def test_the_sound_for_52_is_52(self):
self.assertEqual(convert(52), | "52") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/roman-numerals/roman_numerals_test.py | test_2_is_ii | self.assertEqual | string_literal | 11 | import unittest
from roman_numerals import (
roman,
)
class RomanNumeralsTest(unittest.TestCase):
def test_2_is_ii(self):
self.assertEqual(roman(2), | "II") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/roman-numerals/roman_numerals_test.py | test_4_is_iv | self.assertEqual | string_literal | 11 | import unittest
from roman_numerals import (
roman,
)
class RomanNumeralsTest(unittest.TestCase):
def test_4_is_iv(self):
self.assertEqual(roman(4), | "IV") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/roman-numerals/roman_numerals_test.py | test_6_is_vi | self.assertEqual | string_literal | 11 | import unittest
from roman_numerals import (
roman,
)
class RomanNumeralsTest(unittest.TestCase):
def test_6_is_vi(self):
self.assertEqual(roman(6), | "VI") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/roman-numerals/roman_numerals_test.py | test_9_is_ix | self.assertEqual | string_literal | 11 | import unittest
from roman_numerals import (
roman,
)
class RomanNumeralsTest(unittest.TestCase):
def test_9_is_ix(self):
self.assertEqual(roman(9), | "IX") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/acronym/acronym_test.py | test_basic | self.assertEqual | string_literal | 10 | import unittest
from acronym import (
abbreviate,
)
class AcronymTest(unittest.TestCase):
def test_basic(self):
self.assertEqual(abbreviate("Portable Network Graphics"), | "PNG") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/acronym/acronym_test.py | test_lowercase_words | self.assertEqual | string_literal | 11 | import unittest
from acronym import (
abbreviate,
)
class AcronymTest(unittest.TestCase):
def test_lowercase_words(self):
self.assertEqual(abbreviate("Ruby on Rails"), | "ROR") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/affine-cipher/affine_cipher_test.py | test_encode_yes | self.assertEqual | string_literal | 11 | import unittest
from affine_cipher import (
decode,
encode,
)
class AffineCipherTest(unittest.TestCase):
def test_encode_yes(self):
self.assertEqual(encode("yes", 5, 7), | "xbt") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/affine-cipher/affine_cipher_test.py | test_encode_omg | self.assertEqual | string_literal | 12 | import unittest
from affine_cipher import (
decode,
encode,
)
class AffineCipherTest(unittest.TestCase):
def test_encode_omg(self):
self.assertEqual(encode("OMG", 21, 3), | "lvz") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/affine-cipher/affine_cipher_test.py | test_encode_o_m_g | self.assertEqual | string_literal | 12 | import unittest
from affine_cipher import (
decode,
encode,
)
class AffineCipherTest(unittest.TestCase):
def test_encode_o_m_g(self):
self.assertEqual(encode("O M G", 25, 47), | "hjp") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/atbash-cipher/atbash_cipher_test.py | test_encode_yes | self.assertEqual | string_literal | 11 | import unittest
from atbash_cipher import (
decode,
encode,
)
class AtbashCipherTest(unittest.TestCase):
def test_encode_yes(self):
self.assertEqual(encode("yes"), | "bvh") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/atbash-cipher/atbash_cipher_test.py | test_encode_omg | self.assertEqual | string_literal | 12 | import unittest
from atbash_cipher import (
decode,
encode,
)
class AtbashCipherTest(unittest.TestCase):
def test_encode_omg(self):
self.assertEqual(encode("OMG"), | "lnt") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/hangman/hangman_test.py | test_initially_no_letters_are_guessed | self.assertEqual | string_literal | 12 | import unittest
import hangman
from hangman import Hangman
class HangmanTests(unittest.TestCase):
def test_initially_no_letters_are_guessed(self):
game = Hangman('foo')
self.assertEqual(game.get_masked_word(), | '___') | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/hangman/hangman_test.py | test_winning_on_last_guess_still_counts_as_a_win | self.assertEqual | string_literal | 16 | import unittest
import hangman
from hangman import Hangman
class HangmanTests(unittest.TestCase):
def test_winning_on_last_guess_still_counts_as_a_win(self):
game = Hangman('aaa')
for ch in 'bcdefghij':
game.guess(ch)
game.guess('a')
self.assertEqual(game.remaining_gue... | 'aaa') | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/phone-number/phone_number_test.py | test_area_code | self.assertEqual | string_literal | 12 | import unittest
from phone_number import (
PhoneNumber,
)
class PhoneNumberTest(unittest.TestCase):
def test_area_code(self):
number = PhoneNumber("2234567890")
self.assertEqual(number.area_code, | "223") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/roman-numerals/roman_numerals_test.py | test_3_is_iii | self.assertEqual | string_literal | 11 | import unittest
from roman_numerals import (
roman,
)
class RomanNumeralsTest(unittest.TestCase):
def test_3_is_iii(self):
self.assertEqual(roman(3), | "III") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/roman-numerals/roman_numerals_test.py | test_59_is_lix | self.assertEqual | string_literal | 11 | import unittest
from roman_numerals import (
roman,
)
class RomanNumeralsTest(unittest.TestCase):
def test_59_is_lix(self):
self.assertEqual(roman(59), | "LIX") | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
exercism/python | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | train | train | exercises/practice/alphametics/alphametics_test.py | test_solution_must_have_unique_value_for_each_letter | self.assertEqual | none_literal | 11 | import unittest
from alphametics import (
solve,
)
class AlphameticsTest(unittest.TestCase):
def test_solution_must_have_unique_value_for_each_letter(self):
self.assertEqual(solve("A == B"), | None) | 3e40a4faed41663622954e0617b05590d1c1ce43 | 951 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_component.py | test_component_attributes_ents | assert | numeric_literal | 22 | import pytest
import numpy
from spacy.vocab import Vocab
from spacy.tokens import Doc, Span
from sense2vec import Sense2VecComponent
def doc():
vocab = Vocab()
doc = Doc(vocab, words=["hello", "world"])
doc[0].pos_ = "INTJ"
doc[1].pos_ = "NOUN"
return doc
def test_component_attributes_ents(doc):
... | 0 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_component.py | test_component_attributes_ents | assert | numeric_literal | 24 | import pytest
import numpy
from spacy.vocab import Vocab
from spacy.tokens import Doc, Span
from sense2vec import Sense2VecComponent
def doc():
vocab = Vocab()
doc = Doc(vocab, words=["hello", "world"])
doc[0].pos_ = "INTJ"
doc[1].pos_ = "NOUN"
return doc
def test_component_attributes_ents(doc):
... | 1 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_component.py | test_component_attributes | assert | numeric_literal | 25 | import pytest
import numpy
from spacy.vocab import Vocab
from spacy.tokens import Doc, Span
from sense2vec import Sense2VecComponent
def doc():
vocab = Vocab()
doc = Doc(vocab, words=["hello", "world"])
doc[0].pos_ = "INTJ"
doc[1].pos_ = "NOUN"
return doc
def test_component_attributes(doc):
s2... | 123 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_component.py | test_component_similarity | assert | numeric_literal | 22 | import pytest
import numpy
from spacy.vocab import Vocab
from spacy.tokens import Doc, Span
from sense2vec import Sense2VecComponent
def doc():
vocab = Vocab()
doc = Doc(vocab, words=["hello", "world"])
doc[0].pos_ = "INTJ"
doc[1].pos_ = "NOUN"
return doc
def test_component_similarity(doc):
s2... | 1.0 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_component.py | test_component_attributes | assert | bool_literal | 23 | import pytest
import numpy
from spacy.vocab import Vocab
from spacy.tokens import Doc, Span
from sense2vec import Sense2VecComponent
def doc():
vocab = Vocab()
doc = Doc(vocab, words=["hello", "world"])
doc[0].pos_ = "INTJ"
doc[1].pos_ = "NOUN"
return doc
def test_component_attributes(doc):
s2... | True | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_component.py | test_component_attributes | assert | none_literal | 24 | import pytest
import numpy
from spacy.vocab import Vocab
from spacy.tokens import Doc, Span
from sense2vec import Sense2VecComponent
def doc():
vocab = Vocab()
doc = Doc(vocab, words=["hello", "world"])
doc[0].pos_ = "INTJ"
doc[1].pos_ = "NOUN"
return doc
def test_component_attributes(doc):
s2... | None | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_component.py | test_component_attributes | assert | bool_literal | 22 | import pytest
import numpy
from spacy.vocab import Vocab
from spacy.tokens import Doc, Span
from sense2vec import Sense2VecComponent
def doc():
vocab = Vocab()
doc = Doc(vocab, words=["hello", "world"])
doc[0].pos_ = "INTJ"
doc[1].pos_ = "NOUN"
return doc
def test_component_attributes(doc):
s2... | False | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_component.py | test_component_lemmatize | assert | string_literal | 29 | import pytest
import numpy
from spacy.vocab import Vocab
from spacy.tokens import Doc, Span
from sense2vec import Sense2VecComponent
def doc():
vocab = Vocab()
doc = Doc(vocab, words=["hello", "world"])
doc[0].pos_ = "INTJ"
doc[1].pos_ = "NOUN"
return doc
def test_component_lemmatize(doc):
loo... | "hll" | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_component.py | test_component_lemmatize | assert | string_literal | 26 | import pytest
import numpy
from spacy.vocab import Vocab
from spacy.tokens import Doc, Span
from sense2vec import Sense2VecComponent
def doc():
vocab = Vocab()
doc = Doc(vocab, words=["hello", "world"])
doc[0].pos_ = "INTJ"
doc[1].pos_ = "NOUN"
return doc
def test_component_lemmatize(doc):
loo... | "wrld" | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_component.py | test_component_to_from_bytes | assert | complex_expr | 20 | import pytest
import numpy
from spacy.vocab import Vocab
from spacy.tokens import Doc, Span
from sense2vec import Sense2VecComponent
def doc():
vocab = Vocab()
doc = Doc(vocab, words=["hello", "world"])
doc[0].pos_ = "INTJ"
doc[1].pos_ = "NOUN"
return doc
def test_component_to_from_bytes(doc):
... | s2v.s2v | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_component.py | test_component_lemmatize | assert | string_literal | 32 | import pytest
import numpy
from spacy.vocab import Vocab
from spacy.tokens import Doc, Span
from sense2vec import Sense2VecComponent
def doc():
vocab = Vocab()
doc = Doc(vocab, words=["hello", "world"])
doc[0].pos_ = "INTJ"
doc[1].pos_ = "NOUN"
return doc
def test_component_lemmatize(doc):
loo... | "hll|INTJ" | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_component.py | test_component_attributes_ents | assert | string_literal | 26 | import pytest
import numpy
from spacy.vocab import Vocab
from spacy.tokens import Doc, Span
from sense2vec import Sense2VecComponent
def doc():
vocab = Vocab()
doc = Doc(vocab, words=["hello", "world"])
doc[0].pos_ = "INTJ"
doc[1].pos_ = "NOUN"
return doc
def test_component_attributes_ents(doc):
... | "world|GPE" | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_model.py | test_model_other_senses | assert | numeric_literal | 13 | import pytest
from pathlib import Path
from sense2vec import Sense2Vec
import numpy
def s2v():
data_path = Path(__file__).parent / "data"
return Sense2Vec().from_disk(data_path)
def test_model_other_senses(s2v):
others = s2v.get_other_senses("duck|NOUN")
assert len(others) == | 1 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_model.py | test_model_most_similar | assert | variable | 13 | import pytest
from pathlib import Path
from sense2vec import Sense2Vec
import numpy
def s2v():
data_path = Path(__file__).parent / "data"
return Sense2Vec().from_disk(data_path)
def test_model_most_similar(s2v):
s2v.cache = None
assert "beekeepers|NOUN" in | s2v | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_model.py | test_model_most_similar_cache | assert | numeric_literal | 23 | import pytest
from pathlib import Path
from sense2vec import Sense2Vec
import numpy
def s2v():
data_path = Path(__file__).parent / "data"
return Sense2Vec().from_disk(data_path)
def test_model_most_similar_cache(s2v):
query = "beekeepers|NOUN"
assert s2v.cache
assert query in s2v
# Modify cach... | 2.0 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_model.py | test_model_most_similar_cache | assert | numeric_literal | 25 | import pytest
from pathlib import Path
from sense2vec import Sense2Vec
import numpy
def s2v():
data_path = Path(__file__).parent / "data"
return Sense2Vec().from_disk(data_path)
def test_model_most_similar_cache(s2v):
query = "beekeepers|NOUN"
assert s2v.cache
assert query in s2v
# Modify cach... | 3.0 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_model.py | test_model_other_senses | assert | string_literal | 14 | import pytest
from pathlib import Path
from sense2vec import Sense2Vec
import numpy
def s2v():
data_path = Path(__file__).parent / "data"
return Sense2Vec().from_disk(data_path)
def test_model_other_senses(s2v):
others = s2v.get_other_senses("duck|NOUN")
assert len(others) == 1
assert others[0] =... | "duck|VERB" | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_model.py | test_model_best_sense | assert | string_literal | 12 | import pytest
from pathlib import Path
from sense2vec import Sense2Vec
import numpy
def s2v():
data_path = Path(__file__).parent / "data"
return Sense2Vec().from_disk(data_path)
def test_model_best_sense(s2v):
assert s2v.get_best_sense("duck") == | "duck|NOUN" | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_model.py | test_model_most_similar | assert | string_literal | 15 | import pytest
from pathlib import Path
from sense2vec import Sense2Vec
import numpy
def s2v():
data_path = Path(__file__).parent / "data"
return Sense2Vec().from_disk(data_path)
def test_model_most_similar(s2v):
s2v.cache = None
assert "beekeepers|NOUN" in s2v
((key1, _), (key2, _)) = s2v.most_sim... | "honey_bees|NOUN" | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_model.py | test_model_most_similar | assert | string_literal | 16 | import pytest
from pathlib import Path
from sense2vec import Sense2Vec
import numpy
def s2v():
data_path = Path(__file__).parent / "data"
return Sense2Vec().from_disk(data_path)
def test_model_most_similar(s2v):
s2v.cache = None
assert "beekeepers|NOUN" in s2v
((key1, _), (key2, _)) = s2v.most_sim... | "Beekeepers|NOUN" | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_freqs | assert | numeric_literal | 11 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_freqs():
s2v = Sense2Vec(shape=(10, 4))
vector = numpy.asarray([4, 2, 2, 2], dtype=numpy.float32)
s2v.add("test1", vector, 123)
s2v.add("test2", vector, 456)
assert len(s2v.freqs) == | 2 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_most_similar | assert | numeric_literal | 24 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_most_similar():
s2v = Sense2Vec(shape=(6, 4))
s2v.add("a", numpy.asarray([4, 2, 2, 2], dtype=numpy.float32))
s2v.add("b", numpy.asarray([4, 4, 2, 2], dtype=numpy.float32))
s2v.add("c", numpy.asarray([4, 4, 4, 2], dt... | 3 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_most_similar | assert | numeric_literal | 26 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_most_similar():
s2v = Sense2Vec(shape=(6, 4))
s2v.add("a", numpy.asarray([4, 2, 2, 2], dtype=numpy.float32))
s2v.add("b", numpy.asarray([4, 4, 2, 2], dtype=numpy.float32))
s2v.add("c", numpy.asarray([4, 4, 4, 2], dt... | 4 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_to_from_bytes | assert | numeric_literal | 25 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_to_from_bytes():
s2v = Sense2Vec(shape=(2, 4))
test_vector1 = numpy.asarray([1, 2, 3, 4], dtype=numpy.float32)
test_vector2 = numpy.asarray([5, 6, 7, 8], dtype=numpy.float32)
s2v.add("test1", test_vector1, 123)
... | 0 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_object | assert | numeric_literal | 9 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_object():
s2v = Sense2Vec(shape=(10, 4))
assert s2v.vectors.shape == (10, 4)
assert len(s2v) == | 10 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_other_senses | assert | collection | 16 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_other_senses():
s2v = Sense2Vec(shape=(6, 4))
s2v.cfg["senses"] = ["A", "B", "C", "D"]
for key in ["a|A", "a|B", "a|C", "b|A", "b|C", "c|A"]:
s2v.add(key, numpy.asarray([4, 2, 2, 2], dtype=numpy.float32))
ot... | [] | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_object | assert | variable | 12 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_object():
s2v = Sense2Vec(shape=(10, 4))
assert s2v.vectors.shape == (10, 4)
assert len(s2v) == 10
test_vector = numpy.asarray([4, 2, 2, 2], dtype=numpy.float32)
s2v.add("test", test_vector)
assert "test" i... | s2v | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_freqs | assert | numeric_literal | 12 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_freqs():
s2v = Sense2Vec(shape=(10, 4))
vector = numpy.asarray([4, 2, 2, 2], dtype=numpy.float32)
s2v.add("test1", vector, 123)
s2v.add("test2", vector, 456)
assert len(s2v.freqs) == 2
assert s2v.get_freq("... | 123 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_freqs | assert | numeric_literal | 13 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_freqs():
s2v = Sense2Vec(shape=(10, 4))
vector = numpy.asarray([4, 2, 2, 2], dtype=numpy.float32)
s2v.add("test1", vector, 123)
s2v.add("test2", vector, 456)
assert len(s2v.freqs) == 2
assert s2v.get_freq("t... | 456 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_freqs | assert | numeric_literal | 15 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_freqs():
s2v = Sense2Vec(shape=(10, 4))
vector = numpy.asarray([4, 2, 2, 2], dtype=numpy.float32)
s2v.add("test1", vector, 123)
s2v.add("test2", vector, 456)
assert len(s2v.freqs) == 2
assert s2v.get_freq("t... | 100 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_freqs | assert | numeric_literal | 17 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_freqs():
s2v = Sense2Vec(shape=(10, 4))
vector = numpy.asarray([4, 2, 2, 2], dtype=numpy.float32)
s2v.add("test1", vector, 123)
s2v.add("test2", vector, 456)
assert len(s2v.freqs) == 2
assert s2v.get_freq("t... | 200 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_similarity | assert | numeric_literal | 13 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_similarity():
s2v = Sense2Vec(shape=(5, 4))
s2v.add("a", numpy.asarray([4, 4, 2, 2], dtype=numpy.float32))
s2v.add("b", numpy.asarray([4, 4, 2, 2], dtype=numpy.float32))
s2v.add("c", numpy.asarray([4, 4, 4, 2], dtyp... | 1.0 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_sense2vec.py | test_sense2vec_similarity | assert | numeric_literal | 17 | import pytest
import numpy
from sense2vec import Sense2Vec, registry
def test_sense2vec_similarity():
s2v = Sense2Vec(shape=(5, 4))
s2v.add("a", numpy.asarray([4, 4, 2, 2], dtype=numpy.float32))
s2v.add("b", numpy.asarray([4, 4, 2, 2], dtype=numpy.float32))
s2v.add("c", numpy.asarray([4, 4, 4, 2], dtyp... | 0.8 | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_util.py | test_get_true_cased_text | assert | string_literal | 27 | import pytest
from spacy.tokens import Doc, Span
from spacy.vocab import Vocab
from sense2vec.util import get_true_cased_text, make_key, split_key
def get_doc(vocab, words, spaces, pos):
doc = Doc(vocab, words=words, spaces=spaces)
for i, pos_tag in enumerate(pos):
doc[i].pos_ = pos_tag
return doc
... | "I" | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_util.py | test_get_true_cased_text | assert | string_literal | 35 | import pytest
from spacy.tokens import Doc, Span
from spacy.vocab import Vocab
from sense2vec.util import get_true_cased_text, make_key, split_key
def get_doc(vocab, words, spaces, pos):
doc = Doc(vocab, words=words, spaces=spaces)
for i, pos_tag in enumerate(pos):
doc[i].pos_ = pos_tag
return doc
... | "you" | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_util.py | test_get_true_cased_text | assert | string_literal | 20 | import pytest
from spacy.tokens import Doc, Span
from spacy.vocab import Vocab
from sense2vec.util import get_true_cased_text, make_key, split_key
def get_doc(vocab, words, spaces, pos):
doc = Doc(vocab, words=words, spaces=spaces)
for i, pos_tag in enumerate(pos):
doc[i].pos_ = pos_tag
return doc
... | "cool" | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_util.py | test_get_true_cased_text | assert | string_literal | 36 | import pytest
from spacy.tokens import Doc, Span
from spacy.vocab import Vocab
from sense2vec.util import get_true_cased_text, make_key, split_key
def get_doc(vocab, words, spaces, pos):
doc = Doc(vocab, words=words, spaces=spaces)
for i, pos_tag in enumerate(pos):
doc[i].pos_ = pos_tag
return doc
... | "Obama" | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_util.py | test_make_split_key | assert | variable | 22 | import pytest
from spacy.tokens import Doc, Span
from spacy.vocab import Vocab
from sense2vec.util import get_true_cased_text, make_key, split_key
def get_doc(vocab, words, spaces, pos):
doc = Doc(vocab, words=words, spaces=spaces)
for i, pos_tag in enumerate(pos):
doc[i].pos_ = pos_tag
return doc
... | expected | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/sense2vec | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | train | train | tests/test_util.py | test_make_split_key | assert | collection | 23 | import pytest
from spacy.tokens import Doc, Span
from spacy.vocab import Vocab
from sense2vec.util import get_true_cased_text, make_key, split_key
def get_doc(vocab, words, spaces, pos):
doc = Doc(vocab, words=words, spaces=spaces)
for i, pos_tag in enumerate(pos):
doc[i].pos_ = pos_tag
return doc
... | (word, sense) | 0c0965f18c589a917474df32dae1047489fa6304 | 15 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_anthropic.py | test_anthropic_api_response_when_error | pytest.raises | complex_expr | 16 | import re
import pytest
from spacy_llm.models.rest.anthropic import Anthropic, Endpoints
from ..compat import has_anthropic_key
@pytest.mark.external
@pytest.mark.skipif(has_anthropic_key is False, reason="Anthropic API key unavailable")
def test_anthropic_api_response_when_error():
"""Check if error message sh... | ValueError, match="Request to Anthropic API failed:") | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_anthropic.py | test_anthropic_error_unsupported_model | pytest.raises | func_call | 15 | import re
import pytest
from spacy_llm.models.rest.anthropic import Anthropic, Endpoints
from ..compat import has_anthropic_key
@pytest.mark.external
@pytest.mark.skipif(has_anthropic_key is False, reason="Anthropic API key unavailable")
def test_anthropic_error_unsupported_model():
"""Ensure graceful handling ... | ValueError, match=re.escape("Model 'x-gpt-3.5-turbo' is not supported")) | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_cohere.py | test_cohere_api_response_when_error | pytest.raises | complex_expr | 15 | import pytest
from spacy_llm.models.rest.cohere import Cohere, Endpoints
from ..compat import has_cohere_key
@pytest.mark.external
@pytest.mark.skipif(has_cohere_key is False, reason="Cohere API key not available")
def test_cohere_api_response_when_error():
"""Ensure graceful handling of error in the Cohere mode... | ValueError, match="Request to Cohere API failed:") | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_cohere.py | test_cohere_error_unsupported_model | pytest.raises | complex_expr | 13 | import pytest
from spacy_llm.models.rest.cohere import Cohere, Endpoints
from ..compat import has_cohere_key
@pytest.mark.external
@pytest.mark.skipif(has_cohere_key is False, reason="Cohere API key not available")
def test_cohere_error_unsupported_model():
"""Ensure graceful handling of error when model is not ... | ValueError, match="Model 'x-gpt-3.5-turbo' is not supported") | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_dolly.py | test_init_from_config | assert | collection | 46 | import copy
import pytest
import spacy
from confection import Config # type: ignore[import]
from thinc.compat import has_torch_cuda_gpu
from ...compat import torch
_PIPE_CFG = {
"model": {
"@llm_models": "spacy.Dolly.v1",
"name": "dolly-v2-3b",
},
"task": {"@llm_tasks": "spacy.NoOp.v1"},... | ["llm"] | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_dolly.py | test_invalid_model | pytest.raises | complex_expr | 47 | import copy
import pytest
import spacy
from confection import Config # type: ignore[import]
from thinc.compat import has_torch_cuda_gpu
from ...compat import torch
_PIPE_CFG = {
"model": {
"@llm_models": "spacy.Dolly.v1",
"name": "dolly-v2-3b",
},
"task": {"@llm_tasks": "spacy.NoOp.v1"},... | ValueError, match="unexpected value; permitted") | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_falcon.py | test_init_from_config | assert | collection | 45 | import copy
import pytest
import spacy
from confection import Config # type: ignore[import]
from thinc.compat import has_torch_cuda_gpu
from ...compat import torch
_PIPE_CFG = {
"model": {
"@llm_models": "spacy.Falcon.v1",
"name": "falcon-rw-1b",
},
"task": {"@llm_tasks": "spacy.NoOp.v1"... | ["llm"] | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_falcon.py | test_invalid_model | pytest.raises | complex_expr | 46 | import copy
import pytest
import spacy
from confection import Config # type: ignore[import]
from thinc.compat import has_torch_cuda_gpu
from ...compat import torch
_PIPE_CFG = {
"model": {
"@llm_models": "spacy.Falcon.v1",
"name": "falcon-rw-1b",
},
"task": {"@llm_tasks": "spacy.NoOp.v1"... | ValueError, match="unexpected value; permitted") | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_llama2.py | test_init_from_config | assert | collection | 46 | import copy
import pytest
import spacy
from confection import Config # type: ignore[import]
from thinc.compat import has_torch_cuda_gpu
from ...compat import torch
_PIPE_CFG = {
"model": {
"@llm_models": "spacy.Llama2.v1",
"name": "Llama-2-7b-hf",
},
"task": {"@llm_tasks": "spacy.NoOp.v1... | ["llm"] | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_llama2.py | test_invalid_model | pytest.raises | complex_expr | 47 | import copy
import pytest
import spacy
from confection import Config # type: ignore[import]
from thinc.compat import has_torch_cuda_gpu
from ...compat import torch
_PIPE_CFG = {
"model": {
"@llm_models": "spacy.Llama2.v1",
"name": "Llama-2-7b-hf",
},
"task": {"@llm_tasks": "spacy.NoOp.v1... | ValueError, match="unexpected value; permitted") | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_openllama.py | test_init_from_config | assert | collection | 45 | import copy
import pytest
import spacy
from confection import Config # type: ignore[import]
from thinc.compat import has_torch_cuda_gpu
from ...compat import torch
_PIPE_CFG = {
"model": {
"@llm_models": "spacy.OpenLLaMA.v1",
"name": "open_llama_3b",
},
"task": {"@llm_tasks": "spacy.NoOp... | ["llm"] | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_openllama.py | test_invalid_model | pytest.raises | complex_expr | 46 | import copy
import pytest
import spacy
from confection import Config # type: ignore[import]
from thinc.compat import has_torch_cuda_gpu
from ...compat import torch
_PIPE_CFG = {
"model": {
"@llm_models": "spacy.OpenLLaMA.v1",
"name": "open_llama_3b",
},
"task": {"@llm_tasks": "spacy.NoOp... | ValueError, match="unexpected value; permitted") | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_palm.py | test_palm_api_response_is_correct | assert | numeric_literal | 19 | import pytest
from spacy_llm.models.rest.palm import palm_bison
from ..compat import has_palm_key
@pytest.mark.external
@pytest.mark.skipif(has_palm_key is False, reason="PaLM API key not available")
@pytest.mark.parametrize("name", ("text-bison-001", "chat-bison-001"))
def test_palm_api_response_is_correct(name: st... | 3 | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_palm.py | test_palm_api_response_when_error | pytest.raises | complex_expr | 15 | import pytest
from spacy_llm.models.rest.palm import palm_bison
from ..compat import has_palm_key
@pytest.mark.external
@pytest.mark.skipif(has_palm_key is False, reason="PaLM API key not available")
def test_palm_api_response_when_error():
"""Ensure graceful handling of error in the PaLM model."""
# Incorre... | ValueError, match="Request to PaLM API failed:") | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_palm.py | test_palm_error_unsupported_model | pytest.raises | complex_expr | 13 | import pytest
from spacy_llm.models.rest.palm import palm_bison
from ..compat import has_palm_key
@pytest.mark.external
@pytest.mark.skipif(has_palm_key is False, reason="PaLM API key not available")
def test_palm_error_unsupported_model():
"""Ensure graceful handling of error when model is not supported"""
... | ValueError, match="Model 'x-gpt-3.5-turbo' is not supported") | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_rest.py | test_model_error_handling | pytest.raises | complex_expr | 25 | import copy
import re
from typing import Iterable
import pytest
import spacy
from spacy.tokens import Doc
from ...registry import registry
from ..compat import has_openai_key
PIPE_CFG = {
"model": {
"@llm_models": "spacy.GPT-3-5.v2",
},
"task": {"@llm_tasks": "spacy.TextCat.v1", "labels": "POSITI... | ValueError, match="Could not find function 'spacy.gpt-3.5x.v1'") | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_rest.py | test_max_time_error_handling | pytest.raises | complex_expr | 25 | import copy
import re
from typing import Iterable
import pytest
import spacy
from spacy.tokens import Doc
from ...registry import registry
from ..compat import has_openai_key
PIPE_CFG = {
"model": {
"@llm_models": "spacy.GPT-3-5.v2",
},
"task": {"@llm_tasks": "spacy.TextCat.v1", "labels": "POSITI... | TimeoutError, match="Request time out. Check your network connection and the API's availability.") | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_rest.py | test_doc_length_error_handling | pytest.raises | func_call | 34 | import copy
import re
from typing import Iterable
import pytest
import spacy
from spacy.tokens import Doc
from ...registry import registry
from ..compat import has_openai_key
PIPE_CFG = {
"model": {
"@llm_models": "spacy.GPT-3-5.v2",
},
"task": {"@llm_tasks": "spacy.TextCat.v1", "labels": "POSITI... | ValueError, match=re.escape( "Request to OpenAI API failed: This model's maximum context length is 4097 tokens. However, your messages " "resulted in 5018 tokens. Please reduce the length of the messages." )) | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
explosion/spacy-llm | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | train | train | spacy_llm/tests/models/test_stablelm.py | test_init_from_config | assert | collection | 44 | import copy
import pytest
import spacy
from confection import Config # type: ignore[import]
from thinc.compat import has_torch_cuda_gpu
from ...compat import torch
_PIPE_CFG = {
"model": {
"@llm_models": "spacy.StableLM.v1",
"name": "stablelm-base-alpha-3b",
},
"task": {"@llm_tasks": "sp... | ["llm"] | fad52532857b425eb2a55aecc09330e1e1d7d727 | 72 | v2_extractor_at_anchor |
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