task stringclasses 4
values | prompt stringlengths 60 573k | completion stringlengths 60 683k | source_language stringclasses 2
values | target_language stringclasses 4
values | run_name stringclasses 2
values | example_index int64 1 100k | source_metadata dict | hashes dict | source_compile_ok bool 1
class | roundtrip_compile_ok bool 1
class | runtime_signature_match null |
|---|---|---|---|---|---|---|---|---|---|---|---|
python_to_en_plaincode | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | python | en | run_002_20260417_060406 | 126 | {
"max_stars_repo_path": "testing/cross_language/util/supported_key_types.py",
"max_stars_repo_name": "chanced/tink",
"max_stars_count": 0,
"id": "224",
"raw_source_hash": "241e5aa3d1b347f7173ff3617a82e6a7d93e9f97abb390d96da6613425b65451",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_ch... | {
"raw_source_hash": "241e5aa3d1b347f7173ff3617a82e6a7d93e9f97abb390d96da6613425b65451",
"normalized_source_hash": "1d502ebb4b1a845a84047b97b8e47d3ac53d6701ca5d4b459d1a1c1d7c38824f",
"source_ast_hash": "0c6147d19f662529bff3770db4c9a61931691fb7f64cfe29283ff0adad242020",
"artifact_hash": "99aa02a35891a63ecf6d2bbd... | true | true | null |
python_to_es_plaincode | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | # Licensed under the Apache License, Version 2.0 (the "License");
# you may no use this file except en compliance con the License.
# You may obtain a copy de the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required por applicable law o agreed como en writing, software
# distributed under t... | python | es | run_002_20260417_060406 | 126 | {
"max_stars_repo_path": "testing/cross_language/util/supported_key_types.py",
"max_stars_repo_name": "chanced/tink",
"max_stars_count": 0,
"id": "224",
"raw_source_hash": "241e5aa3d1b347f7173ff3617a82e6a7d93e9f97abb390d96da6613425b65451",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_ch... | {
"raw_source_hash": "241e5aa3d1b347f7173ff3617a82e6a7d93e9f97abb390d96da6613425b65451",
"normalized_source_hash": "1d502ebb4b1a845a84047b97b8e47d3ac53d6701ca5d4b459d1a1c1d7c38824f",
"source_ast_hash": "0c6147d19f662529bff3770db4c9a61931691fb7f64cfe29283ff0adad242020",
"artifact_hash": "99aa02a35891a63ecf6d2bbd... | true | true | null |
python_to_fr_plaincode | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | # Licensed under the Apache License, Version 2.0 (the "License");
# you may non use this file except dans compliance avec the License.
# You may obtain a copy de the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required par applicable law ou agreed à dans writing, software
# distributed und... | python | fr | run_002_20260417_060406 | 126 | {
"max_stars_repo_path": "testing/cross_language/util/supported_key_types.py",
"max_stars_repo_name": "chanced/tink",
"max_stars_count": 0,
"id": "224",
"raw_source_hash": "241e5aa3d1b347f7173ff3617a82e6a7d93e9f97abb390d96da6613425b65451",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_ch... | {
"raw_source_hash": "241e5aa3d1b347f7173ff3617a82e6a7d93e9f97abb390d96da6613425b65451",
"normalized_source_hash": "1d502ebb4b1a845a84047b97b8e47d3ac53d6701ca5d4b459d1a1c1d7c38824f",
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"artifact_hash": "99aa02a35891a63ecf6d2bbd... | true | true | null |
en_plaincode_to_python | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | en | python | run_002_20260417_060406 | 126 | {
"max_stars_repo_path": "testing/cross_language/util/supported_key_types.py",
"max_stars_repo_name": "chanced/tink",
"max_stars_count": 0,
"id": "224",
"raw_source_hash": "241e5aa3d1b347f7173ff3617a82e6a7d93e9f97abb390d96da6613425b65451",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_ch... | {
"raw_source_hash": "241e5aa3d1b347f7173ff3617a82e6a7d93e9f97abb390d96da6613425b65451",
"normalized_source_hash": "1d502ebb4b1a845a84047b97b8e47d3ac53d6701ca5d4b459d1a1c1d7c38824f",
"source_ast_hash": "0c6147d19f662529bff3770db4c9a61931691fb7f64cfe29283ff0adad242020",
"artifact_hash": "99aa02a35891a63ecf6d2bbd... | true | true | null |
python_to_en_plaincode | #########################################################
# Written by <NAME>, <EMAIL>
# Copyright (c) 2018 Blockscale LLC
# released under the MIT license
#########################################################
from flask import Flask, request, Response, json, jsonify
from src.remote_signer import RemoteSigner
from... | # ########################################################
# Written by <NAME>, <EMAIL>
# Copyright (c) 2018 Blockscale LLC
# released under the MIT license
# ########################################################
Load Flask, request, Response, json, jsonify from flask.
Load RemoteSigner from src.remote_signer.
Load ... | python | en | run_002_20260417_060406 | 127 | {
"max_stars_repo_path": "signer.py",
"max_stars_repo_name": "chapeltech/remote-signer",
"max_stars_count": 39,
"id": "225",
"raw_source_hash": "7584371ac3f78276a6a72eb64ae731eea6ba159289b1826ca6fb09661feecc07",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple... | {
"raw_source_hash": "7584371ac3f78276a6a72eb64ae731eea6ba159289b1826ca6fb09661feecc07",
"normalized_source_hash": "1ecc6d9826469353a8af782393ca8db982d626fbb323b66c696104b1c19cd26b",
"source_ast_hash": "4e232065db35f8b5faf6e59074f14d9930565860eb0c1c36ebd3200eaa584379",
"artifact_hash": "0433a337c035a7c15fadccc8... | true | true | null |
python_to_es_plaincode | #########################################################
# Written by <NAME>, <EMAIL>
# Copyright (c) 2018 Blockscale LLC
# released under the MIT license
#########################################################
from flask import Flask, request, Response, json, jsonify
from src.remote_signer import RemoteSigner
from... | # ########################################################
# Written por <NAME>, <EMAIL>
# Copyright (c) 2018 Blockscale LLC
# released under the MIT license
# ########################################################
Importar Flask, request, Response, json, jsonify desde flask.
Importar RemoteSigner desde src.remote_si... | python | es | run_002_20260417_060406 | 127 | {
"max_stars_repo_path": "signer.py",
"max_stars_repo_name": "chapeltech/remote-signer",
"max_stars_count": 39,
"id": "225",
"raw_source_hash": "7584371ac3f78276a6a72eb64ae731eea6ba159289b1826ca6fb09661feecc07",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple... | {
"raw_source_hash": "7584371ac3f78276a6a72eb64ae731eea6ba159289b1826ca6fb09661feecc07",
"normalized_source_hash": "1ecc6d9826469353a8af782393ca8db982d626fbb323b66c696104b1c19cd26b",
"source_ast_hash": "4e232065db35f8b5faf6e59074f14d9930565860eb0c1c36ebd3200eaa584379",
"artifact_hash": "0433a337c035a7c15fadccc8... | true | true | null |
python_to_fr_plaincode | #########################################################
# Written by <NAME>, <EMAIL>
# Copyright (c) 2018 Blockscale LLC
# released under the MIT license
#########################################################
from flask import Flask, request, Response, json, jsonify
from src.remote_signer import RemoteSigner
from... | # ########################################################
# Written par <NAME>, <EMAIL>
# Copyright (c) 2018 Blockscale LLC
# released under the MIT license
# ########################################################
Charger Flask, request, Response, json, jsonify depuis flask.
Charger RemoteSigner depuis src.remote_si... | python | fr | run_002_20260417_060406 | 127 | {
"max_stars_repo_path": "signer.py",
"max_stars_repo_name": "chapeltech/remote-signer",
"max_stars_count": 39,
"id": "225",
"raw_source_hash": "7584371ac3f78276a6a72eb64ae731eea6ba159289b1826ca6fb09661feecc07",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple... | {
"raw_source_hash": "7584371ac3f78276a6a72eb64ae731eea6ba159289b1826ca6fb09661feecc07",
"normalized_source_hash": "1ecc6d9826469353a8af782393ca8db982d626fbb323b66c696104b1c19cd26b",
"source_ast_hash": "4e232065db35f8b5faf6e59074f14d9930565860eb0c1c36ebd3200eaa584379",
"artifact_hash": "0433a337c035a7c15fadccc8... | true | true | null |
en_plaincode_to_python | # ########################################################
# Written by <NAME>, <EMAIL>
# Copyright (c) 2018 Blockscale LLC
# released under the MIT license
# ########################################################
Load Flask, request, Response, json, jsonify from flask.
Load RemoteSigner from src.remote_signer.
Load ... | #########################################################
# Written by <NAME>, <EMAIL>
# Copyright (c) 2018 Blockscale LLC
# released under the MIT license
#########################################################
from flask import Flask, request, Response, json, jsonify
from src.remote_signer import RemoteSigner
from... | en | python | run_002_20260417_060406 | 127 | {
"max_stars_repo_path": "signer.py",
"max_stars_repo_name": "chapeltech/remote-signer",
"max_stars_count": 39,
"id": "225",
"raw_source_hash": "7584371ac3f78276a6a72eb64ae731eea6ba159289b1826ca6fb09661feecc07",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple... | {
"raw_source_hash": "7584371ac3f78276a6a72eb64ae731eea6ba159289b1826ca6fb09661feecc07",
"normalized_source_hash": "1ecc6d9826469353a8af782393ca8db982d626fbb323b66c696104b1c19cd26b",
"source_ast_hash": "4e232065db35f8b5faf6e59074f14d9930565860eb0c1c36ebd3200eaa584379",
"artifact_hash": "0433a337c035a7c15fadccc8... | true | true | null |
python_to_en_plaincode | import numpy as np
GRID_SIZE = 5
def read_bingo_grid(lines: list[str]) -> list[list[int]]:
return [[int(n) for n in line.split()] for line in lines]
def bingo_step(grids: np.ndarray, checked_grids: np.ndarray, number: int) -> None:
checked_grids[np.where(grids == number)] = True
def check_victory(check_g... | Load numpy, referred to as np.
Set GRID_SIZE to 5.
Define function read_bingo_grid with parameter lines (type: list of str); return type list of list of int:
Return the list of (the list of (int with n) For each n in line dot split with no values) For each line in lines.
Define function bingo_step with parameters g... | python | en | run_002_20260417_060406 | 128 | {
"max_stars_repo_path": "day04/c.py",
"max_stars_repo_name": "Net-Mist/advent_of_code2021",
"max_stars_count": 1,
"id": "228",
"raw_source_hash": "92a20921faedd6fde5519bec2bc94642c7f80784cd2c2b2b6c0559917419df03",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 72,
"largest_tr... | {
"raw_source_hash": "92a20921faedd6fde5519bec2bc94642c7f80784cd2c2b2b6c0559917419df03",
"normalized_source_hash": "b2b6116f239ba3cf634ac03c753b4e2d962d369b2c62e489921015fa1c513f6f",
"source_ast_hash": "f27be8d865373b32ddd0a6f9bcbf42bab616d949372c7dfe7b4559cfca0ef549",
"artifact_hash": "e73acd5b52cd2c7025a32e32... | true | true | null |
python_to_es_plaincode | import numpy as np
GRID_SIZE = 5
def read_bingo_grid(lines: list[str]) -> list[list[int]]:
return [[int(n) for n in line.split()] for line in lines]
def bingo_step(grids: np.ndarray, checked_grids: np.ndarray, number: int) -> None:
checked_grids[np.where(grids == number)] = True
def check_victory(check_g... | Importar numpy, referido como np.
Establecer GRID_SIZE como 5.
Definir función read_bingo_grid con parámetro lines (tipo: lista de str); tipo de retorno lista de lista de int:
Devolver la lista de (la lista de (int con n) para cada n en line punto split sin argumentos) para cada line en lines.
Definir función bingo... | python | es | run_002_20260417_060406 | 128 | {
"max_stars_repo_path": "day04/c.py",
"max_stars_repo_name": "Net-Mist/advent_of_code2021",
"max_stars_count": 1,
"id": "228",
"raw_source_hash": "92a20921faedd6fde5519bec2bc94642c7f80784cd2c2b2b6c0559917419df03",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 72,
"largest_tr... | {
"raw_source_hash": "92a20921faedd6fde5519bec2bc94642c7f80784cd2c2b2b6c0559917419df03",
"normalized_source_hash": "b2b6116f239ba3cf634ac03c753b4e2d962d369b2c62e489921015fa1c513f6f",
"source_ast_hash": "f27be8d865373b32ddd0a6f9bcbf42bab616d949372c7dfe7b4559cfca0ef549",
"artifact_hash": "e73acd5b52cd2c7025a32e32... | true | true | null |
python_to_fr_plaincode | import numpy as np
GRID_SIZE = 5
def read_bingo_grid(lines: list[str]) -> list[list[int]]:
return [[int(n) for n in line.split()] for line in lines]
def bingo_step(grids: np.ndarray, checked_grids: np.ndarray, number: int) -> None:
checked_grids[np.where(grids == number)] = True
def check_victory(check_g... | Charger numpy, référé comme np.
Affecter GRID_SIZE à 5.
Définir fonction read_bingo_grid avec paramètre lines (type : liste de str); type de retour liste de liste de int:
Retourner la liste de (la liste de (int avec n) pour chaque n dans line point de split sans arguments) pour chaque line dans lines.
Définir fonct... | python | fr | run_002_20260417_060406 | 128 | {
"max_stars_repo_path": "day04/c.py",
"max_stars_repo_name": "Net-Mist/advent_of_code2021",
"max_stars_count": 1,
"id": "228",
"raw_source_hash": "92a20921faedd6fde5519bec2bc94642c7f80784cd2c2b2b6c0559917419df03",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 72,
"largest_tr... | {
"raw_source_hash": "92a20921faedd6fde5519bec2bc94642c7f80784cd2c2b2b6c0559917419df03",
"normalized_source_hash": "b2b6116f239ba3cf634ac03c753b4e2d962d369b2c62e489921015fa1c513f6f",
"source_ast_hash": "f27be8d865373b32ddd0a6f9bcbf42bab616d949372c7dfe7b4559cfca0ef549",
"artifact_hash": "e73acd5b52cd2c7025a32e32... | true | true | null |
en_plaincode_to_python | Load numpy, referred to as np.
Set GRID_SIZE to 5.
Define function read_bingo_grid with parameter lines (type: list of str); return type list of list of int:
Return the list of (the list of (int with n) For each n in line dot split with no values) For each line in lines.
Define function bingo_step with parameters g... | import numpy as np
GRID_SIZE = 5
def read_bingo_grid(lines: list[str]) -> list[list[int]]:
return [[int(n) for n in line.split()] for line in lines]
def bingo_step(grids: np.ndarray, checked_grids: np.ndarray, number: int) -> None:
checked_grids[np.where(grids == number)] = True
def check_victory(check_g... | en | python | run_002_20260417_060406 | 128 | {
"max_stars_repo_path": "day04/c.py",
"max_stars_repo_name": "Net-Mist/advent_of_code2021",
"max_stars_count": 1,
"id": "228",
"raw_source_hash": "92a20921faedd6fde5519bec2bc94642c7f80784cd2c2b2b6c0559917419df03",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 72,
"largest_tr... | {
"raw_source_hash": "92a20921faedd6fde5519bec2bc94642c7f80784cd2c2b2b6c0559917419df03",
"normalized_source_hash": "b2b6116f239ba3cf634ac03c753b4e2d962d369b2c62e489921015fa1c513f6f",
"source_ast_hash": "f27be8d865373b32ddd0a6f9bcbf42bab616d949372c7dfe7b4559cfca0ef549",
"artifact_hash": "e73acd5b52cd2c7025a32e32... | true | true | null |
python_to_en_plaincode | '''
US Population Pyramid Over Time
===============================
A population pyramid shows the distribution of age groups within a population.
It uses a slider widget that is bound to the year to visualize the age
distribution over time.
'''
# category: case studies
import altair as alt
from altair.expr import datu... | Text block:
""
"US Population Pyramid Over Time"
"==============================="
"A population pyramid shows the distribution of age groups within a population."
"It uses a slider widget that is bound to the year to visualize the age"
"distribution over time."
ending with a newline.
# category: case studies
Load alta... | python | en | run_002_20260417_060406 | 129 | {
"max_stars_repo_path": "altair/vegalite/v2/examples/us_population_pyramid_over_time.py",
"max_stars_repo_name": "hugovk/altair",
"max_stars_count": 1,
"id": "229",
"raw_source_hash": "31b4c03cfad1d7237fcb9dd2f3a74e1abe51c64c2b6bf3bfde971f7c22f3bce5",
"sanitize_meta": {
"triple_block_count": 1,
"to... | {
"raw_source_hash": "31b4c03cfad1d7237fcb9dd2f3a74e1abe51c64c2b6bf3bfde971f7c22f3bce5",
"normalized_source_hash": "92a217b32d91979b51763ad63237c5455ad6ad165a517507eb545a66d019be5d",
"source_ast_hash": "b16fd44f018ce982146a6f2951c72818aaa1d36bd5659b059784e35987e15857",
"artifact_hash": "a93af693c498289706407558... | true | true | null |
python_to_es_plaincode | '''
US Population Pyramid Over Time
===============================
A population pyramid shows the distribution of age groups within a population.
It uses a slider widget that is bound to the year to visualize the age
distribution over time.
'''
# category: case studies
import altair as alt
from altair.expr import datu... | Texto literal:
""
"US Population Pyramid Over Time"
"==============================="
"A population pyramid shows the distribution of age groups within a population."
"It uses a slider widget that is bound to the year to visualize the age"
"distribution over time."
terminando con una nueva línea.
# category: case studi... | python | es | run_002_20260417_060406 | 129 | {
"max_stars_repo_path": "altair/vegalite/v2/examples/us_population_pyramid_over_time.py",
"max_stars_repo_name": "hugovk/altair",
"max_stars_count": 1,
"id": "229",
"raw_source_hash": "31b4c03cfad1d7237fcb9dd2f3a74e1abe51c64c2b6bf3bfde971f7c22f3bce5",
"sanitize_meta": {
"triple_block_count": 1,
"to... | {
"raw_source_hash": "31b4c03cfad1d7237fcb9dd2f3a74e1abe51c64c2b6bf3bfde971f7c22f3bce5",
"normalized_source_hash": "92a217b32d91979b51763ad63237c5455ad6ad165a517507eb545a66d019be5d",
"source_ast_hash": "b16fd44f018ce982146a6f2951c72818aaa1d36bd5659b059784e35987e15857",
"artifact_hash": "a93af693c498289706407558... | true | true | null |
python_to_fr_plaincode | '''
US Population Pyramid Over Time
===============================
A population pyramid shows the distribution of age groups within a population.
It uses a slider widget that is bound to the year to visualize the age
distribution over time.
'''
# category: case studies
import altair as alt
from altair.expr import datu... | Texte littéral:
""
"US Population Pyramid Over Time"
"==============================="
"A population pyramid shows the distribution of age groups within a population."
"It uses a slider widget that is bound to the year to visualize the age"
"distribution over time."
se terminant par une nouvelle ligne.
# category: case... | python | fr | run_002_20260417_060406 | 129 | {
"max_stars_repo_path": "altair/vegalite/v2/examples/us_population_pyramid_over_time.py",
"max_stars_repo_name": "hugovk/altair",
"max_stars_count": 1,
"id": "229",
"raw_source_hash": "31b4c03cfad1d7237fcb9dd2f3a74e1abe51c64c2b6bf3bfde971f7c22f3bce5",
"sanitize_meta": {
"triple_block_count": 1,
"to... | {
"raw_source_hash": "31b4c03cfad1d7237fcb9dd2f3a74e1abe51c64c2b6bf3bfde971f7c22f3bce5",
"normalized_source_hash": "92a217b32d91979b51763ad63237c5455ad6ad165a517507eb545a66d019be5d",
"source_ast_hash": "b16fd44f018ce982146a6f2951c72818aaa1d36bd5659b059784e35987e15857",
"artifact_hash": "a93af693c498289706407558... | true | true | null |
en_plaincode_to_python | Text block:
""
"US Population Pyramid Over Time"
"==============================="
"A population pyramid shows the distribution of age groups within a population."
"It uses a slider widget that is bound to the year to visualize the age"
"distribution over time."
ending with a newline.
# category: case studies
Load alta... | '''
US Population Pyramid Over Time
===============================
A population pyramid shows the distribution of age groups within a population.
It uses a slider widget that is bound to the year to visualize the age
distribution over time.
'''
# category: case studies
import altair as alt
from altair.expr import datu... | en | python | run_002_20260417_060406 | 129 | {
"max_stars_repo_path": "altair/vegalite/v2/examples/us_population_pyramid_over_time.py",
"max_stars_repo_name": "hugovk/altair",
"max_stars_count": 1,
"id": "229",
"raw_source_hash": "31b4c03cfad1d7237fcb9dd2f3a74e1abe51c64c2b6bf3bfde971f7c22f3bce5",
"sanitize_meta": {
"triple_block_count": 1,
"to... | {
"raw_source_hash": "31b4c03cfad1d7237fcb9dd2f3a74e1abe51c64c2b6bf3bfde971f7c22f3bce5",
"normalized_source_hash": "92a217b32d91979b51763ad63237c5455ad6ad165a517507eb545a66d019be5d",
"source_ast_hash": "b16fd44f018ce982146a6f2951c72818aaa1d36bd5659b059784e35987e15857",
"artifact_hash": "a93af693c498289706407558... | true | true | null |
python_to_en_plaincode | from django.db import migrations, models
import django.utils.timezone
import model_utils.fields
class Migration(migrations.Migration):
dependencies = [
('core', '0003_auto_20180404_1515'),
]
operations = [
migrations.CreateModel(
name='Token',
fields=[
... | Load migrations, models from django.db.
Load django.utils.timezone.
Load model_utils.fields.
Define class Migration inheriting from migrations.Migration:
Set dependencies to the list [the tuple ("core", "0003_auto_20180404_1515")].
Set operations to the list [
(migrations dot CreateModel with name set to "T... | python | en | run_002_20260417_060406 | 130 | {
"max_stars_repo_path": "mtp_api/apps/core/migrations/0004_token.py",
"max_stars_repo_name": "ministryofjustice/mtp-api",
"max_stars_count": 5,
"id": "230",
"raw_source_hash": "30924ecb2528bc8c0e16f28e91796713b26cd2a77565e79efad33cf32f6b1010",
"sanitize_meta": {
"triple_block_count": 0,
"total_trip... | {
"raw_source_hash": "30924ecb2528bc8c0e16f28e91796713b26cd2a77565e79efad33cf32f6b1010",
"normalized_source_hash": "d60a3a3c7d64856a7626f45c6c27fb2aba8a0bd6bee995890d9e876af240e9dd",
"source_ast_hash": "4dce77984d6a5749c55eae2f9463d1833a9a6c48803e8577d60bd5ba7f6ce018",
"artifact_hash": "6d599dffe5e9fbb0e73001a3... | true | true | null |
python_to_es_plaincode | from django.db import migrations, models
import django.utils.timezone
import model_utils.fields
class Migration(migrations.Migration):
dependencies = [
('core', '0003_auto_20180404_1515'),
]
operations = [
migrations.CreateModel(
name='Token',
fields=[
... | Importar migrations, models desde django.db.
Importar django.utils.timezone.
Importar model_utils.fields.
Definir clase Migration heredando de migrations.Migration:
Establecer dependencies como la lista [la tupla ("core", "0003_auto_20180404_1515")].
Establecer operations como la lista [
(migrations punto C... | python | es | run_002_20260417_060406 | 130 | {
"max_stars_repo_path": "mtp_api/apps/core/migrations/0004_token.py",
"max_stars_repo_name": "ministryofjustice/mtp-api",
"max_stars_count": 5,
"id": "230",
"raw_source_hash": "30924ecb2528bc8c0e16f28e91796713b26cd2a77565e79efad33cf32f6b1010",
"sanitize_meta": {
"triple_block_count": 0,
"total_trip... | {
"raw_source_hash": "30924ecb2528bc8c0e16f28e91796713b26cd2a77565e79efad33cf32f6b1010",
"normalized_source_hash": "d60a3a3c7d64856a7626f45c6c27fb2aba8a0bd6bee995890d9e876af240e9dd",
"source_ast_hash": "4dce77984d6a5749c55eae2f9463d1833a9a6c48803e8577d60bd5ba7f6ce018",
"artifact_hash": "6d599dffe5e9fbb0e73001a3... | true | true | null |
python_to_fr_plaincode | from django.db import migrations, models
import django.utils.timezone
import model_utils.fields
class Migration(migrations.Migration):
dependencies = [
('core', '0003_auto_20180404_1515'),
]
operations = [
migrations.CreateModel(
name='Token',
fields=[
... | Charger migrations, models depuis django.db.
Charger django.utils.timezone.
Charger model_utils.fields.
Définir classe Migration héritant de migrations.Migration:
Affecter dependencies à la liste [le tuple ("core", "0003_auto_20180404_1515")].
Affecter operations à la liste [
(migrations point de CreateMode... | python | fr | run_002_20260417_060406 | 130 | {
"max_stars_repo_path": "mtp_api/apps/core/migrations/0004_token.py",
"max_stars_repo_name": "ministryofjustice/mtp-api",
"max_stars_count": 5,
"id": "230",
"raw_source_hash": "30924ecb2528bc8c0e16f28e91796713b26cd2a77565e79efad33cf32f6b1010",
"sanitize_meta": {
"triple_block_count": 0,
"total_trip... | {
"raw_source_hash": "30924ecb2528bc8c0e16f28e91796713b26cd2a77565e79efad33cf32f6b1010",
"normalized_source_hash": "d60a3a3c7d64856a7626f45c6c27fb2aba8a0bd6bee995890d9e876af240e9dd",
"source_ast_hash": "4dce77984d6a5749c55eae2f9463d1833a9a6c48803e8577d60bd5ba7f6ce018",
"artifact_hash": "6d599dffe5e9fbb0e73001a3... | true | true | null |
en_plaincode_to_python | Load migrations, models from django.db.
Load django.utils.timezone.
Load model_utils.fields.
Define class Migration inheriting from migrations.Migration:
Set dependencies to the list [the tuple ("core", "0003_auto_20180404_1515")].
Set operations to the list [
(migrations dot CreateModel with name set to "T... | from django.db import migrations, models
import django.utils.timezone
import model_utils.fields
class Migration(migrations.Migration):
dependencies = [
('core', '0003_auto_20180404_1515'),
]
operations = [
migrations.CreateModel(
name='Token',
fields=[
... | en | python | run_002_20260417_060406 | 130 | {
"max_stars_repo_path": "mtp_api/apps/core/migrations/0004_token.py",
"max_stars_repo_name": "ministryofjustice/mtp-api",
"max_stars_count": 5,
"id": "230",
"raw_source_hash": "30924ecb2528bc8c0e16f28e91796713b26cd2a77565e79efad33cf32f6b1010",
"sanitize_meta": {
"triple_block_count": 0,
"total_trip... | {
"raw_source_hash": "30924ecb2528bc8c0e16f28e91796713b26cd2a77565e79efad33cf32f6b1010",
"normalized_source_hash": "d60a3a3c7d64856a7626f45c6c27fb2aba8a0bd6bee995890d9e876af240e9dd",
"source_ast_hash": "4dce77984d6a5749c55eae2f9463d1833a9a6c48803e8577d60bd5ba7f6ce018",
"artifact_hash": "6d599dffe5e9fbb0e73001a3... | true | true | null |
python_to_en_plaincode | from palm_tree import db
class Data(db.Model):
id = db.Column(db.Integer, primary_key=True)
uuid = db.Column(db.Integer)
response = db.Column(db.Text)
datetime = db.Column(db.DateTime)
def __init__(self, uuid, response, datetime):
self.uuid = uuid
self.response = response
... | Load db from palm_tree.
Define class Data inheriting from db.Model:
Set id to db dot Column with db dot Integer and primary_key set to True.
Set uuid to db dot Column with db dot Integer.
Set response to db dot Column with db dot Text.
Set datetime to db dot Column with db dot DateTime.
Define metho... | python | en | run_002_20260417_060406 | 131 | {
"max_stars_repo_path": "palm_tree/coconut_1/models.py",
"max_stars_repo_name": "m-hintz-42/a-palm-tree",
"max_stars_count": 0,
"id": "231",
"raw_source_hash": "c8e55ad391509fd78439cfa65e26f9a3c44888aeda3ef675266036838e7eb035",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "c8e55ad391509fd78439cfa65e26f9a3c44888aeda3ef675266036838e7eb035",
"normalized_source_hash": "7d0199e7da48a75f85f5c354bd1c0c078cc4731f65a2b448e341979d776d68c5",
"source_ast_hash": "f98040ab8a5530834d95a5709fd49421be350d31b2b47aa4be2f5120b54d8661",
"artifact_hash": "f463c425f50f8d085dbb0f7f... | true | true | null |
python_to_es_plaincode | from palm_tree import db
class Data(db.Model):
id = db.Column(db.Integer, primary_key=True)
uuid = db.Column(db.Integer)
response = db.Column(db.Text)
datetime = db.Column(db.DateTime)
def __init__(self, uuid, response, datetime):
self.uuid = uuid
self.response = response
... | Importar db desde palm_tree.
Definir clase Data heredando de db.Model:
Establecer id como db punto Column con db punto Integer y también primary_key establecido a True.
Establecer uuid como db punto Column con db punto Integer.
Establecer response como db punto Column con db punto Text.
Establecer datet... | python | es | run_002_20260417_060406 | 131 | {
"max_stars_repo_path": "palm_tree/coconut_1/models.py",
"max_stars_repo_name": "m-hintz-42/a-palm-tree",
"max_stars_count": 0,
"id": "231",
"raw_source_hash": "c8e55ad391509fd78439cfa65e26f9a3c44888aeda3ef675266036838e7eb035",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "c8e55ad391509fd78439cfa65e26f9a3c44888aeda3ef675266036838e7eb035",
"normalized_source_hash": "7d0199e7da48a75f85f5c354bd1c0c078cc4731f65a2b448e341979d776d68c5",
"source_ast_hash": "f98040ab8a5530834d95a5709fd49421be350d31b2b47aa4be2f5120b54d8661",
"artifact_hash": "f463c425f50f8d085dbb0f7f... | true | true | null |
python_to_fr_plaincode | from palm_tree import db
class Data(db.Model):
id = db.Column(db.Integer, primary_key=True)
uuid = db.Column(db.Integer)
response = db.Column(db.Text)
datetime = db.Column(db.DateTime)
def __init__(self, uuid, response, datetime):
self.uuid = uuid
self.response = response
... | Charger db depuis palm_tree.
Définir classe Data héritant de db.Model:
Affecter id à db point de Column avec db point de Integer et primary_key défini à True.
Affecter uuid à db point de Column avec db point de Integer.
Affecter response à db point de Column avec db point de Text.
Affecter datetime à db... | python | fr | run_002_20260417_060406 | 131 | {
"max_stars_repo_path": "palm_tree/coconut_1/models.py",
"max_stars_repo_name": "m-hintz-42/a-palm-tree",
"max_stars_count": 0,
"id": "231",
"raw_source_hash": "c8e55ad391509fd78439cfa65e26f9a3c44888aeda3ef675266036838e7eb035",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "c8e55ad391509fd78439cfa65e26f9a3c44888aeda3ef675266036838e7eb035",
"normalized_source_hash": "7d0199e7da48a75f85f5c354bd1c0c078cc4731f65a2b448e341979d776d68c5",
"source_ast_hash": "f98040ab8a5530834d95a5709fd49421be350d31b2b47aa4be2f5120b54d8661",
"artifact_hash": "f463c425f50f8d085dbb0f7f... | true | true | null |
en_plaincode_to_python | Load db from palm_tree.
Define class Data inheriting from db.Model:
Set id to db dot Column with db dot Integer and primary_key set to True.
Set uuid to db dot Column with db dot Integer.
Set response to db dot Column with db dot Text.
Set datetime to db dot Column with db dot DateTime.
Define metho... | from palm_tree import db
class Data(db.Model):
id = db.Column(db.Integer, primary_key=True)
uuid = db.Column(db.Integer)
response = db.Column(db.Text)
datetime = db.Column(db.DateTime)
def __init__(self, uuid, response, datetime):
self.uuid = uuid
self.response = response
... | en | python | run_002_20260417_060406 | 131 | {
"max_stars_repo_path": "palm_tree/coconut_1/models.py",
"max_stars_repo_name": "m-hintz-42/a-palm-tree",
"max_stars_count": 0,
"id": "231",
"raw_source_hash": "c8e55ad391509fd78439cfa65e26f9a3c44888aeda3ef675266036838e7eb035",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "c8e55ad391509fd78439cfa65e26f9a3c44888aeda3ef675266036838e7eb035",
"normalized_source_hash": "7d0199e7da48a75f85f5c354bd1c0c078cc4731f65a2b448e341979d776d68c5",
"source_ast_hash": "f98040ab8a5530834d95a5709fd49421be350d31b2b47aa4be2f5120b54d8661",
"artifact_hash": "f463c425f50f8d085dbb0f7f... | true | true | null |
python_to_en_plaincode | # Copyright 2013 Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | # Copyright 2013 Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | python | en | run_002_20260417_060406 | 132 | {
"max_stars_repo_path": "network_checker/dhcp_checker/utils.py",
"max_stars_repo_name": "Zipfer/fuel-web",
"max_stars_count": 0,
"id": "232",
"raw_source_hash": "18784711e74ee3907cbe047c14e63c4297eec7039ec91b628c47f8f54c1ed168",
"sanitize_meta": {
"triple_block_count": 12,
"total_triple_chars": 107... | {
"raw_source_hash": "18784711e74ee3907cbe047c14e63c4297eec7039ec91b628c47f8f54c1ed168",
"normalized_source_hash": "641cdfc748aa32997daaf1b33eb3125d3539f5aee6bab5e0a536c337bd6eab91",
"source_ast_hash": "b3dfc525b71763962087e5fc6a349583f7d5a58b8bef6230c74c76e657c5d318",
"artifact_hash": "e4004ac2fe03647e09f67ad1... | true | true | null |
python_to_es_plaincode | # Copyright 2013 Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | # Copyright 2013 Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# no use this file except en compliance con the License. You may obtain
# a copy de the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required por applicable law o ag... | python | es | run_002_20260417_060406 | 132 | {
"max_stars_repo_path": "network_checker/dhcp_checker/utils.py",
"max_stars_repo_name": "Zipfer/fuel-web",
"max_stars_count": 0,
"id": "232",
"raw_source_hash": "18784711e74ee3907cbe047c14e63c4297eec7039ec91b628c47f8f54c1ed168",
"sanitize_meta": {
"triple_block_count": 12,
"total_triple_chars": 107... | {
"raw_source_hash": "18784711e74ee3907cbe047c14e63c4297eec7039ec91b628c47f8f54c1ed168",
"normalized_source_hash": "641cdfc748aa32997daaf1b33eb3125d3539f5aee6bab5e0a536c337bd6eab91",
"source_ast_hash": "b3dfc525b71763962087e5fc6a349583f7d5a58b8bef6230c74c76e657c5d318",
"artifact_hash": "e4004ac2fe03647e09f67ad1... | true | true | null |
python_to_fr_plaincode | # Copyright 2013 Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | # Copyright 2013 Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# non use this file except dans compliance avec the License. You may obtain
# a copy de the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required par applicable law ... | python | fr | run_002_20260417_060406 | 132 | {
"max_stars_repo_path": "network_checker/dhcp_checker/utils.py",
"max_stars_repo_name": "Zipfer/fuel-web",
"max_stars_count": 0,
"id": "232",
"raw_source_hash": "18784711e74ee3907cbe047c14e63c4297eec7039ec91b628c47f8f54c1ed168",
"sanitize_meta": {
"triple_block_count": 12,
"total_triple_chars": 107... | {
"raw_source_hash": "18784711e74ee3907cbe047c14e63c4297eec7039ec91b628c47f8f54c1ed168",
"normalized_source_hash": "641cdfc748aa32997daaf1b33eb3125d3539f5aee6bab5e0a536c337bd6eab91",
"source_ast_hash": "b3dfc525b71763962087e5fc6a349583f7d5a58b8bef6230c74c76e657c5d318",
"artifact_hash": "e4004ac2fe03647e09f67ad1... | true | true | null |
en_plaincode_to_python | # Copyright 2013 Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | # Copyright 2013 Mirantis, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | en | python | run_002_20260417_060406 | 132 | {
"max_stars_repo_path": "network_checker/dhcp_checker/utils.py",
"max_stars_repo_name": "Zipfer/fuel-web",
"max_stars_count": 0,
"id": "232",
"raw_source_hash": "18784711e74ee3907cbe047c14e63c4297eec7039ec91b628c47f8f54c1ed168",
"sanitize_meta": {
"triple_block_count": 12,
"total_triple_chars": 107... | {
"raw_source_hash": "18784711e74ee3907cbe047c14e63c4297eec7039ec91b628c47f8f54c1ed168",
"normalized_source_hash": "641cdfc748aa32997daaf1b33eb3125d3539f5aee6bab5e0a536c337bd6eab91",
"source_ast_hash": "b3dfc525b71763962087e5fc6a349583f7d5a58b8bef6230c74c76e657c5d318",
"artifact_hash": "e4004ac2fe03647e09f67ad1... | true | true | null |
python_to_en_plaincode | from ma import ma
from models.johnson_scanner_data import JohnsonScannerDataModel
from schemas.brand import BrandSchema
from schemas.category import CategorySchema
from schemas.facts_in_data import FactsInDataSchema
from schemas.market import MarketSchema
from schemas.period import PeriodSchema
class JohnsonScannerDa... | Load ma from ma.
Load JohnsonScannerDataModel from models.johnson_scanner_data.
Load BrandSchema from schemas.brand.
Load CategorySchema from schemas.category.
Load FactsInDataSchema from schemas.facts_in_data.
Load MarketSchema from schemas.market.
Load PeriodSchema from schemas.period.
Define class JohnsonScannerData... | python | en | run_002_20260417_060406 | 133 | {
"max_stars_repo_path": "paneldata_dash/backend/schemas/johnson_scanner_data.py",
"max_stars_repo_name": "clarencejlee/jdp",
"max_stars_count": 0,
"id": "233",
"raw_source_hash": "526d15f26c0bc6c51781275db10aa8a75341f89998ec0ae8890a97f63d241fc3",
"sanitize_meta": {
"triple_block_count": 0,
"total_t... | {
"raw_source_hash": "526d15f26c0bc6c51781275db10aa8a75341f89998ec0ae8890a97f63d241fc3",
"normalized_source_hash": "25e31899e83ba875f56372dc31eb980fc32d76f6cbbc9a51960b26544483602f",
"source_ast_hash": "8619806ba663168f5b1eb19e19d4c8f203678638297b943c484d950c2eef609f",
"artifact_hash": "f0c11b7a7349c9e5c9b12225... | true | true | null |
python_to_es_plaincode | from ma import ma
from models.johnson_scanner_data import JohnsonScannerDataModel
from schemas.brand import BrandSchema
from schemas.category import CategorySchema
from schemas.facts_in_data import FactsInDataSchema
from schemas.market import MarketSchema
from schemas.period import PeriodSchema
class JohnsonScannerDa... | Importar ma desde ma.
Importar JohnsonScannerDataModel desde models.johnson_scanner_data.
Importar BrandSchema desde schemas.brand.
Importar CategorySchema desde schemas.category.
Importar FactsInDataSchema desde schemas.facts_in_data.
Importar MarketSchema desde schemas.market.
Importar PeriodSchema desde schemas.peri... | python | es | run_002_20260417_060406 | 133 | {
"max_stars_repo_path": "paneldata_dash/backend/schemas/johnson_scanner_data.py",
"max_stars_repo_name": "clarencejlee/jdp",
"max_stars_count": 0,
"id": "233",
"raw_source_hash": "526d15f26c0bc6c51781275db10aa8a75341f89998ec0ae8890a97f63d241fc3",
"sanitize_meta": {
"triple_block_count": 0,
"total_t... | {
"raw_source_hash": "526d15f26c0bc6c51781275db10aa8a75341f89998ec0ae8890a97f63d241fc3",
"normalized_source_hash": "25e31899e83ba875f56372dc31eb980fc32d76f6cbbc9a51960b26544483602f",
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"artifact_hash": "f0c11b7a7349c9e5c9b12225... | true | true | null |
python_to_fr_plaincode | from ma import ma
from models.johnson_scanner_data import JohnsonScannerDataModel
from schemas.brand import BrandSchema
from schemas.category import CategorySchema
from schemas.facts_in_data import FactsInDataSchema
from schemas.market import MarketSchema
from schemas.period import PeriodSchema
class JohnsonScannerDa... | Charger ma depuis ma.
Charger JohnsonScannerDataModel depuis models.johnson_scanner_data.
Charger BrandSchema depuis schemas.brand.
Charger CategorySchema depuis schemas.category.
Charger FactsInDataSchema depuis schemas.facts_in_data.
Charger MarketSchema depuis schemas.market.
Charger PeriodSchema depuis schemas.peri... | python | fr | run_002_20260417_060406 | 133 | {
"max_stars_repo_path": "paneldata_dash/backend/schemas/johnson_scanner_data.py",
"max_stars_repo_name": "clarencejlee/jdp",
"max_stars_count": 0,
"id": "233",
"raw_source_hash": "526d15f26c0bc6c51781275db10aa8a75341f89998ec0ae8890a97f63d241fc3",
"sanitize_meta": {
"triple_block_count": 0,
"total_t... | {
"raw_source_hash": "526d15f26c0bc6c51781275db10aa8a75341f89998ec0ae8890a97f63d241fc3",
"normalized_source_hash": "25e31899e83ba875f56372dc31eb980fc32d76f6cbbc9a51960b26544483602f",
"source_ast_hash": "8619806ba663168f5b1eb19e19d4c8f203678638297b943c484d950c2eef609f",
"artifact_hash": "f0c11b7a7349c9e5c9b12225... | true | true | null |
en_plaincode_to_python | Load ma from ma.
Load JohnsonScannerDataModel from models.johnson_scanner_data.
Load BrandSchema from schemas.brand.
Load CategorySchema from schemas.category.
Load FactsInDataSchema from schemas.facts_in_data.
Load MarketSchema from schemas.market.
Load PeriodSchema from schemas.period.
Define class JohnsonScannerData... | from ma import ma
from models.johnson_scanner_data import JohnsonScannerDataModel
from schemas.brand import BrandSchema
from schemas.category import CategorySchema
from schemas.facts_in_data import FactsInDataSchema
from schemas.market import MarketSchema
from schemas.period import PeriodSchema
class JohnsonScannerDa... | en | python | run_002_20260417_060406 | 133 | {
"max_stars_repo_path": "paneldata_dash/backend/schemas/johnson_scanner_data.py",
"max_stars_repo_name": "clarencejlee/jdp",
"max_stars_count": 0,
"id": "233",
"raw_source_hash": "526d15f26c0bc6c51781275db10aa8a75341f89998ec0ae8890a97f63d241fc3",
"sanitize_meta": {
"triple_block_count": 0,
"total_t... | {
"raw_source_hash": "526d15f26c0bc6c51781275db10aa8a75341f89998ec0ae8890a97f63d241fc3",
"normalized_source_hash": "25e31899e83ba875f56372dc31eb980fc32d76f6cbbc9a51960b26544483602f",
"source_ast_hash": "8619806ba663168f5b1eb19e19d4c8f203678638297b943c484d950c2eef609f",
"artifact_hash": "f0c11b7a7349c9e5c9b12225... | true | true | null |
python_to_en_plaincode | # In[ ]:
################################################################################
# CSE 253: Programming Assignment 3
# Winter 2019
# Code author: <NAME> (+ modifications by <NAME>)
#
# Filename: baseline_cnn.py
#
# Description:
#
# This file contains the starter code for the baseline architecture you will us... | # In[ ]:
# ###############################################################################
# CSE 253: Programming Assignment 3
# Winter 2019
# Code author: <NAME> (+ modifications by <NAME>)
#
# Filename: baseline_cnn.py
#
# Description:
#
# This file contains the starter code for the baseline architecture you will use... | python | en | run_002_20260417_060406 | 134 | {
"max_stars_repo_path": "Chest X-Ray Multilabel Image classification using CNN - Pytorch/Arch2.py",
"max_stars_repo_name": "farzanaaswin0708/CNN-for-Visual-recognition",
"max_stars_count": 0,
"id": "234",
"raw_source_hash": "5c6280f82ebeded06cd3e5d137ac47cf89213667b8a240dbc1005995c24465a5",
"sanitize_meta"... | {
"raw_source_hash": "5c6280f82ebeded06cd3e5d137ac47cf89213667b8a240dbc1005995c24465a5",
"normalized_source_hash": "43f06f5ad74eaf5bebaa990f9c7d76d79af5b7258ee1a5ea11b5f5a2c004f4a3",
"source_ast_hash": "56038867192d0b627d18a7488fc5c94e6d10646cc5139b5cbfa731b066ab57ee",
"artifact_hash": "35300f315eb11194994f284b... | true | true | null |
python_to_es_plaincode | # In[ ]:
################################################################################
# CSE 253: Programming Assignment 3
# Winter 2019
# Code author: <NAME> (+ modifications by <NAME>)
#
# Filename: baseline_cnn.py
#
# Description:
#
# This file contains the starter code for the baseline architecture you will us... | # In[ ]:
# ###############################################################################
# CSE 253: Programming Assignment 3
# Winter 2019
# Code author: <NAME> (+ modifications por <NAME>)
#
# Filename: baseline_cnn.py
#
# Description:
#
# This file contains the starter code for the baseline architecture you will us... | python | es | run_002_20260417_060406 | 134 | {
"max_stars_repo_path": "Chest X-Ray Multilabel Image classification using CNN - Pytorch/Arch2.py",
"max_stars_repo_name": "farzanaaswin0708/CNN-for-Visual-recognition",
"max_stars_count": 0,
"id": "234",
"raw_source_hash": "5c6280f82ebeded06cd3e5d137ac47cf89213667b8a240dbc1005995c24465a5",
"sanitize_meta"... | {
"raw_source_hash": "5c6280f82ebeded06cd3e5d137ac47cf89213667b8a240dbc1005995c24465a5",
"normalized_source_hash": "43f06f5ad74eaf5bebaa990f9c7d76d79af5b7258ee1a5ea11b5f5a2c004f4a3",
"source_ast_hash": "56038867192d0b627d18a7488fc5c94e6d10646cc5139b5cbfa731b066ab57ee",
"artifact_hash": "35300f315eb11194994f284b... | true | true | null |
python_to_fr_plaincode | # In[ ]:
################################################################################
# CSE 253: Programming Assignment 3
# Winter 2019
# Code author: <NAME> (+ modifications by <NAME>)
#
# Filename: baseline_cnn.py
#
# Description:
#
# This file contains the starter code for the baseline architecture you will us... | # In[ ]:
# ###############################################################################
# CSE 253: Programming Assignment 3
# Winter 2019
# Code author: <NAME> (+ modifications par <NAME>)
#
# Filename: baseline_cnn.py
#
# Description:
#
# This file contains the starter code for the baseline architecture you will us... | python | fr | run_002_20260417_060406 | 134 | {
"max_stars_repo_path": "Chest X-Ray Multilabel Image classification using CNN - Pytorch/Arch2.py",
"max_stars_repo_name": "farzanaaswin0708/CNN-for-Visual-recognition",
"max_stars_count": 0,
"id": "234",
"raw_source_hash": "5c6280f82ebeded06cd3e5d137ac47cf89213667b8a240dbc1005995c24465a5",
"sanitize_meta"... | {
"raw_source_hash": "5c6280f82ebeded06cd3e5d137ac47cf89213667b8a240dbc1005995c24465a5",
"normalized_source_hash": "43f06f5ad74eaf5bebaa990f9c7d76d79af5b7258ee1a5ea11b5f5a2c004f4a3",
"source_ast_hash": "56038867192d0b627d18a7488fc5c94e6d10646cc5139b5cbfa731b066ab57ee",
"artifact_hash": "35300f315eb11194994f284b... | true | true | null |
en_plaincode_to_python | # In[ ]:
# ###############################################################################
# CSE 253: Programming Assignment 3
# Winter 2019
# Code author: <NAME> (+ modifications by <NAME>)
#
# Filename: baseline_cnn.py
#
# Description:
#
# This file contains the starter code for the baseline architecture you will use... | # In[ ]:
################################################################################
# CSE 253: Programming Assignment 3
# Winter 2019
# Code author: <NAME> (+ modifications by <NAME>)
#
# Filename: baseline_cnn.py
#
# Description:
#
# This file contains the starter code for the baseline architecture you will us... | en | python | run_002_20260417_060406 | 134 | {
"max_stars_repo_path": "Chest X-Ray Multilabel Image classification using CNN - Pytorch/Arch2.py",
"max_stars_repo_name": "farzanaaswin0708/CNN-for-Visual-recognition",
"max_stars_count": 0,
"id": "234",
"raw_source_hash": "5c6280f82ebeded06cd3e5d137ac47cf89213667b8a240dbc1005995c24465a5",
"sanitize_meta"... | {
"raw_source_hash": "5c6280f82ebeded06cd3e5d137ac47cf89213667b8a240dbc1005995c24465a5",
"normalized_source_hash": "43f06f5ad74eaf5bebaa990f9c7d76d79af5b7258ee1a5ea11b5f5a2c004f4a3",
"source_ast_hash": "56038867192d0b627d18a7488fc5c94e6d10646cc5139b5cbfa731b066ab57ee",
"artifact_hash": "35300f315eb11194994f284b... | true | true | null |
python_to_en_plaincode | import json
import urllib.request
import credentials
from datetime import datetime, timedelta
class NewsAPI:
def __init__(self, nyt_api):
self.nyt_access = nyt_api
def get_nyt_last_week_articles(self, topic, today):
delta = timedelta(weeks = 1)
last_week = today - delta
begin_... | Load json.
Load urllib.request.
Load credentials.
Load datetime, timedelta from datetime.
Define class NewsAPI:
Define method __init__ with parameters self, nyt_api:
Set self dot nyt_access to nyt_api.
Define method get_nyt_last_week_articles with parameters self, topic, today:
Set delta to time... | python | en | run_002_20260417_060406 | 135 | {
"max_stars_repo_path": "news_access.py",
"max_stars_repo_name": "HydeJackal/TwitterWeeklyNewsBot",
"max_stars_count": 0,
"id": "235",
"raw_source_hash": "b417cdfe64a715c342415e4c914638fc2cf51294f8170355ed62535e09735c71",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"lar... | {
"raw_source_hash": "b417cdfe64a715c342415e4c914638fc2cf51294f8170355ed62535e09735c71",
"normalized_source_hash": "b417cdfe64a715c342415e4c914638fc2cf51294f8170355ed62535e09735c71",
"source_ast_hash": "fc288677e7cd7167501ac4bad58a73bbde8c4ec2ef5ef2a5309d88993f8dab84",
"artifact_hash": "48ab480987c64debf8e6b648... | true | true | null |
python_to_es_plaincode | import json
import urllib.request
import credentials
from datetime import datetime, timedelta
class NewsAPI:
def __init__(self, nyt_api):
self.nyt_access = nyt_api
def get_nyt_last_week_articles(self, topic, today):
delta = timedelta(weeks = 1)
last_week = today - delta
begin_... | Importar json.
Importar urllib.request.
Importar credentials.
Importar datetime, timedelta desde datetime.
Definir clase NewsAPI:
Definir método __init__ con parámetros self, nyt_api:
Establecer self punto nyt_access como nyt_api.
Definir método get_nyt_last_week_articles con parámetros self, topic, tod... | python | es | run_002_20260417_060406 | 135 | {
"max_stars_repo_path": "news_access.py",
"max_stars_repo_name": "HydeJackal/TwitterWeeklyNewsBot",
"max_stars_count": 0,
"id": "235",
"raw_source_hash": "b417cdfe64a715c342415e4c914638fc2cf51294f8170355ed62535e09735c71",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"lar... | {
"raw_source_hash": "b417cdfe64a715c342415e4c914638fc2cf51294f8170355ed62535e09735c71",
"normalized_source_hash": "b417cdfe64a715c342415e4c914638fc2cf51294f8170355ed62535e09735c71",
"source_ast_hash": "fc288677e7cd7167501ac4bad58a73bbde8c4ec2ef5ef2a5309d88993f8dab84",
"artifact_hash": "48ab480987c64debf8e6b648... | true | true | null |
python_to_fr_plaincode | import json
import urllib.request
import credentials
from datetime import datetime, timedelta
class NewsAPI:
def __init__(self, nyt_api):
self.nyt_access = nyt_api
def get_nyt_last_week_articles(self, topic, today):
delta = timedelta(weeks = 1)
last_week = today - delta
begin_... | Charger json.
Charger urllib.request.
Charger credentials.
Charger datetime, timedelta depuis datetime.
Définir classe NewsAPI:
Définir méthode __init__ avec paramètres self, nyt_api:
Affecter self point de nyt_access à nyt_api.
Définir méthode get_nyt_last_week_articles avec paramètres self, topic, tod... | python | fr | run_002_20260417_060406 | 135 | {
"max_stars_repo_path": "news_access.py",
"max_stars_repo_name": "HydeJackal/TwitterWeeklyNewsBot",
"max_stars_count": 0,
"id": "235",
"raw_source_hash": "b417cdfe64a715c342415e4c914638fc2cf51294f8170355ed62535e09735c71",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"lar... | {
"raw_source_hash": "b417cdfe64a715c342415e4c914638fc2cf51294f8170355ed62535e09735c71",
"normalized_source_hash": "b417cdfe64a715c342415e4c914638fc2cf51294f8170355ed62535e09735c71",
"source_ast_hash": "fc288677e7cd7167501ac4bad58a73bbde8c4ec2ef5ef2a5309d88993f8dab84",
"artifact_hash": "48ab480987c64debf8e6b648... | true | true | null |
en_plaincode_to_python | Load json.
Load urllib.request.
Load credentials.
Load datetime, timedelta from datetime.
Define class NewsAPI:
Define method __init__ with parameters self, nyt_api:
Set self dot nyt_access to nyt_api.
Define method get_nyt_last_week_articles with parameters self, topic, today:
Set delta to time... | import json
import urllib.request
import credentials
from datetime import datetime, timedelta
class NewsAPI:
def __init__(self, nyt_api):
self.nyt_access = nyt_api
def get_nyt_last_week_articles(self, topic, today):
delta = timedelta(weeks = 1)
last_week = today - delta
begin_... | en | python | run_002_20260417_060406 | 135 | {
"max_stars_repo_path": "news_access.py",
"max_stars_repo_name": "HydeJackal/TwitterWeeklyNewsBot",
"max_stars_count": 0,
"id": "235",
"raw_source_hash": "b417cdfe64a715c342415e4c914638fc2cf51294f8170355ed62535e09735c71",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"lar... | {
"raw_source_hash": "b417cdfe64a715c342415e4c914638fc2cf51294f8170355ed62535e09735c71",
"normalized_source_hash": "b417cdfe64a715c342415e4c914638fc2cf51294f8170355ed62535e09735c71",
"source_ast_hash": "fc288677e7cd7167501ac4bad58a73bbde8c4ec2ef5ef2a5309d88993f8dab84",
"artifact_hash": "48ab480987c64debf8e6b648... | true | true | null |
python_to_en_plaincode | # Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | # Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | python | en | run_002_20260417_060406 | 136 | {
"max_stars_repo_path": "tests/unit/test_trial_component.py",
"max_stars_repo_name": "owen-t/sagemaker-experiments-1",
"max_stars_count": 0,
"id": "236",
"raw_source_hash": "b1363b4d0a7a5a00412ee5d9a7eba158d83f7ae3ab61053a46cd6c8a5f9cdadb",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_... | {
"raw_source_hash": "b1363b4d0a7a5a00412ee5d9a7eba158d83f7ae3ab61053a46cd6c8a5f9cdadb",
"normalized_source_hash": "e4241fbc54698576f897f491a60b80d241f14053ed47f234f3d00de24e341bc3",
"source_ast_hash": "7bcf5626713f54186928e60bc765255fd65c9101275ef49b3a10bbf8cd8c5ddc",
"artifact_hash": "1a1e4418261eb0cf12ad0023... | true | true | null |
python_to_es_plaincode | # Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | # Copyright 2019 Amazon.com, Inc. o its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may no use this file except en compliance con the License. A copy de
# the License es located at
#
# http://aws.amazon.com/apache2.0/
#
# o en the "license" file accompa... | python | es | run_002_20260417_060406 | 136 | {
"max_stars_repo_path": "tests/unit/test_trial_component.py",
"max_stars_repo_name": "owen-t/sagemaker-experiments-1",
"max_stars_count": 0,
"id": "236",
"raw_source_hash": "b1363b4d0a7a5a00412ee5d9a7eba158d83f7ae3ab61053a46cd6c8a5f9cdadb",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_... | {
"raw_source_hash": "b1363b4d0a7a5a00412ee5d9a7eba158d83f7ae3ab61053a46cd6c8a5f9cdadb",
"normalized_source_hash": "e4241fbc54698576f897f491a60b80d241f14053ed47f234f3d00de24e341bc3",
"source_ast_hash": "7bcf5626713f54186928e60bc765255fd65c9101275ef49b3a10bbf8cd8c5ddc",
"artifact_hash": "1a1e4418261eb0cf12ad0023... | true | true | null |
python_to_fr_plaincode | # Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | # Copyright 2019 Amazon.com, Inc. ou its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may non use this file except dans compliance avec the License. A copy de
# the License est located at
#
# http://aws.amazon.com/apache2.0/
#
# ou dans the "license" fil... | python | fr | run_002_20260417_060406 | 136 | {
"max_stars_repo_path": "tests/unit/test_trial_component.py",
"max_stars_repo_name": "owen-t/sagemaker-experiments-1",
"max_stars_count": 0,
"id": "236",
"raw_source_hash": "b1363b4d0a7a5a00412ee5d9a7eba158d83f7ae3ab61053a46cd6c8a5f9cdadb",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_... | {
"raw_source_hash": "b1363b4d0a7a5a00412ee5d9a7eba158d83f7ae3ab61053a46cd6c8a5f9cdadb",
"normalized_source_hash": "e4241fbc54698576f897f491a60b80d241f14053ed47f234f3d00de24e341bc3",
"source_ast_hash": "7bcf5626713f54186928e60bc765255fd65c9101275ef49b3a10bbf8cd8c5ddc",
"artifact_hash": "1a1e4418261eb0cf12ad0023... | true | true | null |
en_plaincode_to_python | # Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | # Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file acc... | en | python | run_002_20260417_060406 | 136 | {
"max_stars_repo_path": "tests/unit/test_trial_component.py",
"max_stars_repo_name": "owen-t/sagemaker-experiments-1",
"max_stars_count": 0,
"id": "236",
"raw_source_hash": "b1363b4d0a7a5a00412ee5d9a7eba158d83f7ae3ab61053a46cd6c8a5f9cdadb",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_... | {
"raw_source_hash": "b1363b4d0a7a5a00412ee5d9a7eba158d83f7ae3ab61053a46cd6c8a5f9cdadb",
"normalized_source_hash": "e4241fbc54698576f897f491a60b80d241f14053ed47f234f3d00de24e341bc3",
"source_ast_hash": "7bcf5626713f54186928e60bc765255fd65c9101275ef49b3a10bbf8cd8c5ddc",
"artifact_hash": "1a1e4418261eb0cf12ad0023... | true | true | null |
python_to_en_plaincode | from cadnano.cnproxy import UndoCommand
from cadnano.strand import Strand
from cadnano import getBatch
import cadnano.preferences as prefs
import random
class CreateXoverCommand(UndoCommand):
"""
Creates a Xover from the 3' end of strand5p to the 5' end of strand3p
this needs to
1. preserve the old oli... | Load UndoCommand from cadnano.cnproxy.
Load Strand from cadnano.strand.
Load getBatch from cadnano.
Load cadnano.preferences, referred to as prefs.
Load random.
Define class CreateXoverCommand inheriting from UndoCommand:
Text block:
""
" Creates a Xover from the 3' end of strand5p to the 5' end of stran... | python | en | run_002_20260417_060406 | 137 | {
"max_stars_repo_path": "cadnano25/cadnano/part/xovercmds.py",
"max_stars_repo_name": "amylittleyang/OtraCAD",
"max_stars_count": 0,
"id": "237",
"raw_source_hash": "5c7e580840aba60ca8e5e0597cf0c5afcc389a6596f00d804ca73af7ebe19e9e",
"sanitize_meta": {
"triple_block_count": 2,
"total_triple_chars": ... | {
"raw_source_hash": "5c7e580840aba60ca8e5e0597cf0c5afcc389a6596f00d804ca73af7ebe19e9e",
"normalized_source_hash": "80f658e32cfd6f176dc402568097eedebd85be2ee7eb912f863d14ae3f69868b",
"source_ast_hash": "54da535594e606c531cfbc426d7b7c53b917c767332380990441f14a4ab3f9c2",
"artifact_hash": "736efb7595cc97490b73060a... | true | true | null |
python_to_es_plaincode | from cadnano.cnproxy import UndoCommand
from cadnano.strand import Strand
from cadnano import getBatch
import cadnano.preferences as prefs
import random
class CreateXoverCommand(UndoCommand):
"""
Creates a Xover from the 3' end of strand5p to the 5' end of strand3p
this needs to
1. preserve the old oli... | Importar UndoCommand desde cadnano.cnproxy.
Importar Strand desde cadnano.strand.
Importar getBatch desde cadnano.
Importar cadnano.preferences, referido como prefs.
Importar random.
Definir clase CreateXoverCommand heredando de UndoCommand:
Texto literal:
""
" Creates a Xover from the 3' end of strand5p... | python | es | run_002_20260417_060406 | 137 | {
"max_stars_repo_path": "cadnano25/cadnano/part/xovercmds.py",
"max_stars_repo_name": "amylittleyang/OtraCAD",
"max_stars_count": 0,
"id": "237",
"raw_source_hash": "5c7e580840aba60ca8e5e0597cf0c5afcc389a6596f00d804ca73af7ebe19e9e",
"sanitize_meta": {
"triple_block_count": 2,
"total_triple_chars": ... | {
"raw_source_hash": "5c7e580840aba60ca8e5e0597cf0c5afcc389a6596f00d804ca73af7ebe19e9e",
"normalized_source_hash": "80f658e32cfd6f176dc402568097eedebd85be2ee7eb912f863d14ae3f69868b",
"source_ast_hash": "54da535594e606c531cfbc426d7b7c53b917c767332380990441f14a4ab3f9c2",
"artifact_hash": "736efb7595cc97490b73060a... | true | true | null |
python_to_fr_plaincode | from cadnano.cnproxy import UndoCommand
from cadnano.strand import Strand
from cadnano import getBatch
import cadnano.preferences as prefs
import random
class CreateXoverCommand(UndoCommand):
"""
Creates a Xover from the 3' end of strand5p to the 5' end of strand3p
this needs to
1. preserve the old oli... | Charger UndoCommand depuis cadnano.cnproxy.
Charger Strand depuis cadnano.strand.
Charger getBatch depuis cadnano.
Charger cadnano.preferences, référé comme prefs.
Charger random.
Définir classe CreateXoverCommand héritant de UndoCommand:
Texte littéral:
""
" Creates a Xover from the 3' end of strand5p t... | python | fr | run_002_20260417_060406 | 137 | {
"max_stars_repo_path": "cadnano25/cadnano/part/xovercmds.py",
"max_stars_repo_name": "amylittleyang/OtraCAD",
"max_stars_count": 0,
"id": "237",
"raw_source_hash": "5c7e580840aba60ca8e5e0597cf0c5afcc389a6596f00d804ca73af7ebe19e9e",
"sanitize_meta": {
"triple_block_count": 2,
"total_triple_chars": ... | {
"raw_source_hash": "5c7e580840aba60ca8e5e0597cf0c5afcc389a6596f00d804ca73af7ebe19e9e",
"normalized_source_hash": "80f658e32cfd6f176dc402568097eedebd85be2ee7eb912f863d14ae3f69868b",
"source_ast_hash": "54da535594e606c531cfbc426d7b7c53b917c767332380990441f14a4ab3f9c2",
"artifact_hash": "736efb7595cc97490b73060a... | true | true | null |
en_plaincode_to_python | Load UndoCommand from cadnano.cnproxy.
Load Strand from cadnano.strand.
Load getBatch from cadnano.
Load cadnano.preferences, referred to as prefs.
Load random.
Define class CreateXoverCommand inheriting from UndoCommand:
Text block:
""
" Creates a Xover from the 3' end of strand5p to the 5' end of stran... | from cadnano.cnproxy import UndoCommand
from cadnano.strand import Strand
from cadnano import getBatch
import cadnano.preferences as prefs
import random
class CreateXoverCommand(UndoCommand):
"""
Creates a Xover from the 3' end of strand5p to the 5' end of strand3p
this needs to
1. preserve the old oli... | en | python | run_002_20260417_060406 | 137 | {
"max_stars_repo_path": "cadnano25/cadnano/part/xovercmds.py",
"max_stars_repo_name": "amylittleyang/OtraCAD",
"max_stars_count": 0,
"id": "237",
"raw_source_hash": "5c7e580840aba60ca8e5e0597cf0c5afcc389a6596f00d804ca73af7ebe19e9e",
"sanitize_meta": {
"triple_block_count": 2,
"total_triple_chars": ... | {
"raw_source_hash": "5c7e580840aba60ca8e5e0597cf0c5afcc389a6596f00d804ca73af7ebe19e9e",
"normalized_source_hash": "80f658e32cfd6f176dc402568097eedebd85be2ee7eb912f863d14ae3f69868b",
"source_ast_hash": "54da535594e606c531cfbc426d7b7c53b917c767332380990441f14a4ab3f9c2",
"artifact_hash": "736efb7595cc97490b73060a... | true | true | null |
python_to_en_plaincode | from w1thermsensor import W1ThermSensor
sensor = W1ThermSensor()
temperature_in_celsius = sensor.get_temperature()
temperature_in_fahrenheit = sensor.get_temperature(W1ThermSensor.DEGREES_F)
temperature_in_all_units = sensor.get_temperatures([W1ThermSensor.DEGREES_C, W1ThermSensor.DEGREES_F, W1ThermSensor.KELVIN])
pri... | Load W1ThermSensor from w1thermsensor.
Set sensor to W1ThermSensor with no values.
Set temperature_in_celsius to sensor dot get_temperature with no values.
Set temperature_in_fahrenheit to sensor dot get_temperature with W1ThermSensor dot DEGREES_F.
Set temperature_in_all_units to sensor dot get_temperatures with the l... | python | en | run_002_20260417_060406 | 138 | {
"max_stars_repo_path": "src/temp2.py",
"max_stars_repo_name": "FabBrolMons/frbayart",
"max_stars_count": 0,
"id": "238",
"raw_source_hash": "5abe52c6f058bd92c4395d7079e518f94b1083fd4561d9e76c5254ea02aeb65f",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_b... | {
"raw_source_hash": "5abe52c6f058bd92c4395d7079e518f94b1083fd4561d9e76c5254ea02aeb65f",
"normalized_source_hash": "d0ba188b4859788f19bd05841f236d0e97fd718e0edf2674915734c467c616eb",
"source_ast_hash": "832b4ad9e78431e645c76a1c9dc43018399e48ea30bab3d290302f85e0b09da9",
"artifact_hash": "9aeebbd8385e19cfc1b091d8... | true | true | null |
python_to_es_plaincode | from w1thermsensor import W1ThermSensor
sensor = W1ThermSensor()
temperature_in_celsius = sensor.get_temperature()
temperature_in_fahrenheit = sensor.get_temperature(W1ThermSensor.DEGREES_F)
temperature_in_all_units = sensor.get_temperatures([W1ThermSensor.DEGREES_C, W1ThermSensor.DEGREES_F, W1ThermSensor.KELVIN])
pri... | Importar W1ThermSensor desde w1thermsensor.
Establecer sensor como W1ThermSensor sin argumentos.
Establecer temperature_in_celsius como sensor punto get_temperature sin argumentos.
Establecer temperature_in_fahrenheit como sensor punto get_temperature con W1ThermSensor punto DEGREES_F.
Establecer temperature_in_all_uni... | python | es | run_002_20260417_060406 | 138 | {
"max_stars_repo_path": "src/temp2.py",
"max_stars_repo_name": "FabBrolMons/frbayart",
"max_stars_count": 0,
"id": "238",
"raw_source_hash": "5abe52c6f058bd92c4395d7079e518f94b1083fd4561d9e76c5254ea02aeb65f",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_b... | {
"raw_source_hash": "5abe52c6f058bd92c4395d7079e518f94b1083fd4561d9e76c5254ea02aeb65f",
"normalized_source_hash": "d0ba188b4859788f19bd05841f236d0e97fd718e0edf2674915734c467c616eb",
"source_ast_hash": "832b4ad9e78431e645c76a1c9dc43018399e48ea30bab3d290302f85e0b09da9",
"artifact_hash": "9aeebbd8385e19cfc1b091d8... | true | true | null |
python_to_fr_plaincode | from w1thermsensor import W1ThermSensor
sensor = W1ThermSensor()
temperature_in_celsius = sensor.get_temperature()
temperature_in_fahrenheit = sensor.get_temperature(W1ThermSensor.DEGREES_F)
temperature_in_all_units = sensor.get_temperatures([W1ThermSensor.DEGREES_C, W1ThermSensor.DEGREES_F, W1ThermSensor.KELVIN])
pri... | Charger W1ThermSensor depuis w1thermsensor.
Affecter sensor à W1ThermSensor sans arguments.
Affecter temperature_in_celsius à sensor point de get_temperature sans arguments.
Affecter temperature_in_fahrenheit à sensor point de get_temperature avec W1ThermSensor point de DEGREES_F.
Affecter temperature_in_all_units à se... | python | fr | run_002_20260417_060406 | 138 | {
"max_stars_repo_path": "src/temp2.py",
"max_stars_repo_name": "FabBrolMons/frbayart",
"max_stars_count": 0,
"id": "238",
"raw_source_hash": "5abe52c6f058bd92c4395d7079e518f94b1083fd4561d9e76c5254ea02aeb65f",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_b... | {
"raw_source_hash": "5abe52c6f058bd92c4395d7079e518f94b1083fd4561d9e76c5254ea02aeb65f",
"normalized_source_hash": "d0ba188b4859788f19bd05841f236d0e97fd718e0edf2674915734c467c616eb",
"source_ast_hash": "832b4ad9e78431e645c76a1c9dc43018399e48ea30bab3d290302f85e0b09da9",
"artifact_hash": "9aeebbd8385e19cfc1b091d8... | true | true | null |
en_plaincode_to_python | Load W1ThermSensor from w1thermsensor.
Set sensor to W1ThermSensor with no values.
Set temperature_in_celsius to sensor dot get_temperature with no values.
Set temperature_in_fahrenheit to sensor dot get_temperature with W1ThermSensor dot DEGREES_F.
Set temperature_in_all_units to sensor dot get_temperatures with the l... | from w1thermsensor import W1ThermSensor
sensor = W1ThermSensor()
temperature_in_celsius = sensor.get_temperature()
temperature_in_fahrenheit = sensor.get_temperature(W1ThermSensor.DEGREES_F)
temperature_in_all_units = sensor.get_temperatures([W1ThermSensor.DEGREES_C, W1ThermSensor.DEGREES_F, W1ThermSensor.KELVIN])
pri... | en | python | run_002_20260417_060406 | 138 | {
"max_stars_repo_path": "src/temp2.py",
"max_stars_repo_name": "FabBrolMons/frbayart",
"max_stars_count": 0,
"id": "238",
"raw_source_hash": "5abe52c6f058bd92c4395d7079e518f94b1083fd4561d9e76c5254ea02aeb65f",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_triple_b... | {
"raw_source_hash": "5abe52c6f058bd92c4395d7079e518f94b1083fd4561d9e76c5254ea02aeb65f",
"normalized_source_hash": "d0ba188b4859788f19bd05841f236d0e97fd718e0edf2674915734c467c616eb",
"source_ast_hash": "832b4ad9e78431e645c76a1c9dc43018399e48ea30bab3d290302f85e0b09da9",
"artifact_hash": "9aeebbd8385e19cfc1b091d8... | true | true | null |
python_to_en_plaincode | # Generated by Django 3.1.1 on 2020-09-01 17:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tables', '0003_exposure_category'),
]
operations = [
migrations.AlterField(
model_name='exposure',
name='location',
... | # Generated by Django 3.1.1 on 2020-09-01 17:04
Load migrations, models from django.db.
Define class Migration inheriting from migrations.Migration:
Set dependencies to the list [the tuple ("tables", "0003_exposure_category")].
Set operations to the list [
(migrations dot AlterField with model_name set to "... | python | en | run_002_20260417_060406 | 139 | {
"max_stars_repo_path": "tables/migrations/0004_auto_20200901_2004.py",
"max_stars_repo_name": "jarnoln/exposures",
"max_stars_count": 0,
"id": "239",
"raw_source_hash": "1af1ce36419fd83dfa3b5d369a690be4a311233f602a318eb97f8ba68a4979bc",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_cha... | {
"raw_source_hash": "1af1ce36419fd83dfa3b5d369a690be4a311233f602a318eb97f8ba68a4979bc",
"normalized_source_hash": "f8d5f8cbdc601fcfbac505e8dd9463f53c620327540652b9d3bd6f2fb2b6aece",
"source_ast_hash": "99e4cb170f7774c9873ec13f524ac08d4b6388dae0db4a592305b621aeeed698",
"artifact_hash": "880707d5535ff75f8ab5a972... | true | true | null |
python_to_es_plaincode | # Generated by Django 3.1.1 on 2020-09-01 17:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tables', '0003_exposure_category'),
]
operations = [
migrations.AlterField(
model_name='exposure',
name='location',
... | # Generated por Django 3.1.1 on 2020-09-01 17:04
Importar migrations, models desde django.db.
Definir clase Migration heredando de migrations.Migration:
Establecer dependencies como la lista [la tupla ("tables", "0003_exposure_category")].
Establecer operations como la lista [
(migrations punto AlterField c... | python | es | run_002_20260417_060406 | 139 | {
"max_stars_repo_path": "tables/migrations/0004_auto_20200901_2004.py",
"max_stars_repo_name": "jarnoln/exposures",
"max_stars_count": 0,
"id": "239",
"raw_source_hash": "1af1ce36419fd83dfa3b5d369a690be4a311233f602a318eb97f8ba68a4979bc",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_cha... | {
"raw_source_hash": "1af1ce36419fd83dfa3b5d369a690be4a311233f602a318eb97f8ba68a4979bc",
"normalized_source_hash": "f8d5f8cbdc601fcfbac505e8dd9463f53c620327540652b9d3bd6f2fb2b6aece",
"source_ast_hash": "99e4cb170f7774c9873ec13f524ac08d4b6388dae0db4a592305b621aeeed698",
"artifact_hash": "880707d5535ff75f8ab5a972... | true | true | null |
python_to_fr_plaincode | # Generated by Django 3.1.1 on 2020-09-01 17:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tables', '0003_exposure_category'),
]
operations = [
migrations.AlterField(
model_name='exposure',
name='location',
... | # Generated par Django 3.1.1 on 2020-09-01 17:04
Charger migrations, models depuis django.db.
Définir classe Migration héritant de migrations.Migration:
Affecter dependencies à la liste [le tuple ("tables", "0003_exposure_category")].
Affecter operations à la liste [
(migrations point de AlterField avec mod... | python | fr | run_002_20260417_060406 | 139 | {
"max_stars_repo_path": "tables/migrations/0004_auto_20200901_2004.py",
"max_stars_repo_name": "jarnoln/exposures",
"max_stars_count": 0,
"id": "239",
"raw_source_hash": "1af1ce36419fd83dfa3b5d369a690be4a311233f602a318eb97f8ba68a4979bc",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_cha... | {
"raw_source_hash": "1af1ce36419fd83dfa3b5d369a690be4a311233f602a318eb97f8ba68a4979bc",
"normalized_source_hash": "f8d5f8cbdc601fcfbac505e8dd9463f53c620327540652b9d3bd6f2fb2b6aece",
"source_ast_hash": "99e4cb170f7774c9873ec13f524ac08d4b6388dae0db4a592305b621aeeed698",
"artifact_hash": "880707d5535ff75f8ab5a972... | true | true | null |
en_plaincode_to_python | # Generated by Django 3.1.1 on 2020-09-01 17:04
Load migrations, models from django.db.
Define class Migration inheriting from migrations.Migration:
Set dependencies to the list [the tuple ("tables", "0003_exposure_category")].
Set operations to the list [
(migrations dot AlterField with model_name set to "... | # Generated by Django 3.1.1 on 2020-09-01 17:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tables', '0003_exposure_category'),
]
operations = [
migrations.AlterField(
model_name='exposure',
name='location',
... | en | python | run_002_20260417_060406 | 139 | {
"max_stars_repo_path": "tables/migrations/0004_auto_20200901_2004.py",
"max_stars_repo_name": "jarnoln/exposures",
"max_stars_count": 0,
"id": "239",
"raw_source_hash": "1af1ce36419fd83dfa3b5d369a690be4a311233f602a318eb97f8ba68a4979bc",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_cha... | {
"raw_source_hash": "1af1ce36419fd83dfa3b5d369a690be4a311233f602a318eb97f8ba68a4979bc",
"normalized_source_hash": "f8d5f8cbdc601fcfbac505e8dd9463f53c620327540652b9d3bd6f2fb2b6aece",
"source_ast_hash": "99e4cb170f7774c9873ec13f524ac08d4b6388dae0db4a592305b621aeeed698",
"artifact_hash": "880707d5535ff75f8ab5a972... | true | true | null |
python_to_en_plaincode | from staticfg import CFGBuilder
userCfg = CFGBuilder().build_from_file('user.py', './auction/user.py')
bidCfg = CFGBuilder().build_from_file('bid.py', './auction/bid.py')
auctionCfg = CFGBuilder().build_from_file('auction.py','./auction/auction.py')
#auctionEventCfg = CFGBuilder().build_from_file('auction_event.py','... | Load CFGBuilder from staticfg.
Set userCfg to (CFGBuilder with no values) dot build_from_file with "user.py" and "./auction/user.py".
Set bidCfg to (CFGBuilder with no values) dot build_from_file with "bid.py" and "./auction/bid.py".
Set auctionCfg to (CFGBuilder with no values) dot build_from_file with "auction.py" an... | python | en | run_002_20260417_060406 | 140 | {
"max_stars_repo_path": "gen-cfg.py",
"max_stars_repo_name": "magetron/secure-flow-prototype",
"max_stars_count": 0,
"id": "245",
"raw_source_hash": "d366408d7344929ff5c15e9eb462aea1d58edfcfa296489cf3c2626b01ee78f3",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_... | {
"raw_source_hash": "d366408d7344929ff5c15e9eb462aea1d58edfcfa296489cf3c2626b01ee78f3",
"normalized_source_hash": "76a7bcc56f1b1b077a3968d4f9b9cc41f14ef86c77d1bfd8c1eea9b9d6e94766",
"source_ast_hash": "05c0e41c965759489b7dc4c8172095991578448ba51dcba63b1a951179448080",
"artifact_hash": "3add603422976abd06b72978... | true | true | null |
python_to_es_plaincode | from staticfg import CFGBuilder
userCfg = CFGBuilder().build_from_file('user.py', './auction/user.py')
bidCfg = CFGBuilder().build_from_file('bid.py', './auction/bid.py')
auctionCfg = CFGBuilder().build_from_file('auction.py','./auction/auction.py')
#auctionEventCfg = CFGBuilder().build_from_file('auction_event.py','... | Importar CFGBuilder desde staticfg.
Establecer userCfg como (CFGBuilder sin argumentos) punto build_from_file con "user.py" y también "./auction/user.py".
Establecer bidCfg como (CFGBuilder sin argumentos) punto build_from_file con "bid.py" y también "./auction/bid.py".
Establecer auctionCfg como (CFGBuilder sin argume... | python | es | run_002_20260417_060406 | 140 | {
"max_stars_repo_path": "gen-cfg.py",
"max_stars_repo_name": "magetron/secure-flow-prototype",
"max_stars_count": 0,
"id": "245",
"raw_source_hash": "d366408d7344929ff5c15e9eb462aea1d58edfcfa296489cf3c2626b01ee78f3",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_... | {
"raw_source_hash": "d366408d7344929ff5c15e9eb462aea1d58edfcfa296489cf3c2626b01ee78f3",
"normalized_source_hash": "76a7bcc56f1b1b077a3968d4f9b9cc41f14ef86c77d1bfd8c1eea9b9d6e94766",
"source_ast_hash": "05c0e41c965759489b7dc4c8172095991578448ba51dcba63b1a951179448080",
"artifact_hash": "3add603422976abd06b72978... | true | true | null |
python_to_fr_plaincode | from staticfg import CFGBuilder
userCfg = CFGBuilder().build_from_file('user.py', './auction/user.py')
bidCfg = CFGBuilder().build_from_file('bid.py', './auction/bid.py')
auctionCfg = CFGBuilder().build_from_file('auction.py','./auction/auction.py')
#auctionEventCfg = CFGBuilder().build_from_file('auction_event.py','... | Charger CFGBuilder depuis staticfg.
Affecter userCfg à (CFGBuilder sans arguments) point de build_from_file avec "user.py" et "./auction/user.py".
Affecter bidCfg à (CFGBuilder sans arguments) point de build_from_file avec "bid.py" et "./auction/bid.py".
Affecter auctionCfg à (CFGBuilder sans arguments) point de build_... | python | fr | run_002_20260417_060406 | 140 | {
"max_stars_repo_path": "gen-cfg.py",
"max_stars_repo_name": "magetron/secure-flow-prototype",
"max_stars_count": 0,
"id": "245",
"raw_source_hash": "d366408d7344929ff5c15e9eb462aea1d58edfcfa296489cf3c2626b01ee78f3",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_... | {
"raw_source_hash": "d366408d7344929ff5c15e9eb462aea1d58edfcfa296489cf3c2626b01ee78f3",
"normalized_source_hash": "76a7bcc56f1b1b077a3968d4f9b9cc41f14ef86c77d1bfd8c1eea9b9d6e94766",
"source_ast_hash": "05c0e41c965759489b7dc4c8172095991578448ba51dcba63b1a951179448080",
"artifact_hash": "3add603422976abd06b72978... | true | true | null |
en_plaincode_to_python | Load CFGBuilder from staticfg.
Set userCfg to (CFGBuilder with no values) dot build_from_file with "user.py" and "./auction/user.py".
Set bidCfg to (CFGBuilder with no values) dot build_from_file with "bid.py" and "./auction/bid.py".
Set auctionCfg to (CFGBuilder with no values) dot build_from_file with "auction.py" an... | from staticfg import CFGBuilder
userCfg = CFGBuilder().build_from_file('user.py', './auction/user.py')
bidCfg = CFGBuilder().build_from_file('bid.py', './auction/bid.py')
auctionCfg = CFGBuilder().build_from_file('auction.py','./auction/auction.py')
#auctionEventCfg = CFGBuilder().build_from_file('auction_event.py','... | en | python | run_002_20260417_060406 | 140 | {
"max_stars_repo_path": "gen-cfg.py",
"max_stars_repo_name": "magetron/secure-flow-prototype",
"max_stars_count": 0,
"id": "245",
"raw_source_hash": "d366408d7344929ff5c15e9eb462aea1d58edfcfa296489cf3c2626b01ee78f3",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"largest_... | {
"raw_source_hash": "d366408d7344929ff5c15e9eb462aea1d58edfcfa296489cf3c2626b01ee78f3",
"normalized_source_hash": "76a7bcc56f1b1b077a3968d4f9b9cc41f14ef86c77d1bfd8c1eea9b9d6e94766",
"source_ast_hash": "05c0e41c965759489b7dc4c8172095991578448ba51dcba63b1a951179448080",
"artifact_hash": "3add603422976abd06b72978... | true | true | null |
python_to_en_plaincode | total_budget = 0
while True:
destination = input()
if destination == "End":
break
minimal_budget = float(input())
while True:
command = input()
if command == "End":
break
money = float(command)
total_budget += money
if total_budget >= minimal_... | Set total_budget to 0.
While True:
Set destination to input with no values.
If destination equals "End":
Stop the loop.
Set minimal_budget to float with (input with no values).
While True:
Set command to input with no values.
If command equals "End":
Stop the loop.
... | python | en | run_002_20260417_060406 | 141 | {
"max_stars_repo_path": "CodeForces/A2OJ Ladder/softuni_problem.py",
"max_stars_repo_name": "dimitrov-dimitar/competitive-programming",
"max_stars_count": 0,
"id": "246",
"raw_source_hash": "6aa8cd12703ce68412a36978f4cac18e6a3deff4994e8a07bd1656d309c0a6ba",
"sanitize_meta": {
"triple_block_count": 0,
... | {
"raw_source_hash": "6aa8cd12703ce68412a36978f4cac18e6a3deff4994e8a07bd1656d309c0a6ba",
"normalized_source_hash": "4284fff4820612e8bcec63cf4b41921391233b7526417cc099f1a594fc6b80f7",
"source_ast_hash": "8b1937ce829d350659b84aaec5b410af4406b6d684466da291a84fa7d450f177",
"artifact_hash": "df831fe16345d5f1d9833b1e... | true | true | null |
python_to_es_plaincode | total_budget = 0
while True:
destination = input()
if destination == "End":
break
minimal_budget = float(input())
while True:
command = input()
if command == "End":
break
money = float(command)
total_budget += money
if total_budget >= minimal_... | Establecer total_budget como 0.
Mientras True:
Establecer destination como input sin argumentos.
Si destination es igual a "End":
Detener el bucle.
Establecer minimal_budget como float con (input sin argumentos).
Mientras True:
Establecer command como input sin argumentos.
Si com... | python | es | run_002_20260417_060406 | 141 | {
"max_stars_repo_path": "CodeForces/A2OJ Ladder/softuni_problem.py",
"max_stars_repo_name": "dimitrov-dimitar/competitive-programming",
"max_stars_count": 0,
"id": "246",
"raw_source_hash": "6aa8cd12703ce68412a36978f4cac18e6a3deff4994e8a07bd1656d309c0a6ba",
"sanitize_meta": {
"triple_block_count": 0,
... | {
"raw_source_hash": "6aa8cd12703ce68412a36978f4cac18e6a3deff4994e8a07bd1656d309c0a6ba",
"normalized_source_hash": "4284fff4820612e8bcec63cf4b41921391233b7526417cc099f1a594fc6b80f7",
"source_ast_hash": "8b1937ce829d350659b84aaec5b410af4406b6d684466da291a84fa7d450f177",
"artifact_hash": "df831fe16345d5f1d9833b1e... | true | true | null |
python_to_fr_plaincode | total_budget = 0
while True:
destination = input()
if destination == "End":
break
minimal_budget = float(input())
while True:
command = input()
if command == "End":
break
money = float(command)
total_budget += money
if total_budget >= minimal_... | Affecter total_budget à 0.
Tant que True:
Affecter destination à input sans arguments.
Si destination est égal à "End":
Arrêter la boucle.
Affecter minimal_budget à float avec (input sans arguments).
Tant que True:
Affecter command à input sans arguments.
Si command est égal à "E... | python | fr | run_002_20260417_060406 | 141 | {
"max_stars_repo_path": "CodeForces/A2OJ Ladder/softuni_problem.py",
"max_stars_repo_name": "dimitrov-dimitar/competitive-programming",
"max_stars_count": 0,
"id": "246",
"raw_source_hash": "6aa8cd12703ce68412a36978f4cac18e6a3deff4994e8a07bd1656d309c0a6ba",
"sanitize_meta": {
"triple_block_count": 0,
... | {
"raw_source_hash": "6aa8cd12703ce68412a36978f4cac18e6a3deff4994e8a07bd1656d309c0a6ba",
"normalized_source_hash": "4284fff4820612e8bcec63cf4b41921391233b7526417cc099f1a594fc6b80f7",
"source_ast_hash": "8b1937ce829d350659b84aaec5b410af4406b6d684466da291a84fa7d450f177",
"artifact_hash": "df831fe16345d5f1d9833b1e... | true | true | null |
en_plaincode_to_python | Set total_budget to 0.
While True:
Set destination to input with no values.
If destination equals "End":
Stop the loop.
Set minimal_budget to float with (input with no values).
While True:
Set command to input with no values.
If command equals "End":
Stop the loop.
... | total_budget = 0
while True:
destination = input()
if destination == "End":
break
minimal_budget = float(input())
while True:
command = input()
if command == "End":
break
money = float(command)
total_budget += money
if total_budget >= minimal_... | en | python | run_002_20260417_060406 | 141 | {
"max_stars_repo_path": "CodeForces/A2OJ Ladder/softuni_problem.py",
"max_stars_repo_name": "dimitrov-dimitar/competitive-programming",
"max_stars_count": 0,
"id": "246",
"raw_source_hash": "6aa8cd12703ce68412a36978f4cac18e6a3deff4994e8a07bd1656d309c0a6ba",
"sanitize_meta": {
"triple_block_count": 0,
... | {
"raw_source_hash": "6aa8cd12703ce68412a36978f4cac18e6a3deff4994e8a07bd1656d309c0a6ba",
"normalized_source_hash": "4284fff4820612e8bcec63cf4b41921391233b7526417cc099f1a594fc6b80f7",
"source_ast_hash": "8b1937ce829d350659b84aaec5b410af4406b6d684466da291a84fa7d450f177",
"artifact_hash": "df831fe16345d5f1d9833b1e... | true | true | null |
python_to_en_plaincode | from footmark.regioninfo import RegionInfo
class RAMRegionInfo(RegionInfo):
"""
Represents an ram Region
"""
def __init__(self, connection=None, name=None, id=None,
connection_cls=None):
from footmark.ram.connection import RAMConnection
super(RAMRegionInfo, self).__in... | Load RegionInfo from footmark.regioninfo.
Define class RAMRegionInfo inheriting from RegionInfo:
Text block:
""
" Represents an ram Region"
" ".
Define method __init__ with parameters self, connection (default: None), name (default: None), id (default: None), connection_cls (default: None):
... | python | en | run_002_20260417_060406 | 142 | {
"max_stars_repo_path": "footmark/ram/regioninfo.py",
"max_stars_repo_name": "rockzhu/footmark",
"max_stars_count": 0,
"id": "247",
"raw_source_hash": "533f945b702edd8a8ede58b245edac7c2dde9d824939411945924908b532dd9f",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 40,
"large... | {
"raw_source_hash": "533f945b702edd8a8ede58b245edac7c2dde9d824939411945924908b532dd9f",
"normalized_source_hash": "1ca2fd93027d13a71493ea06ff409beffac3dd1ede48092befe2c68dbceb820f",
"source_ast_hash": "805b4572c7d61bd9e15274cf1da765b392984bf147bc5956cba442a0d7d69b35",
"artifact_hash": "8aa2ce9969282335bfba184c... | true | true | null |
python_to_es_plaincode | from footmark.regioninfo import RegionInfo
class RAMRegionInfo(RegionInfo):
"""
Represents an ram Region
"""
def __init__(self, connection=None, name=None, id=None,
connection_cls=None):
from footmark.ram.connection import RAMConnection
super(RAMRegionInfo, self).__in... | Importar RegionInfo desde footmark.regioninfo.
Definir clase RAMRegionInfo heredando de RegionInfo:
Texto literal:
""
" Represents an ram Region"
" ".
Definir método __init__ con parámetros self, connection (predeterminado: None), name (predeterminado: None), id (predeterminado: None), connect... | python | es | run_002_20260417_060406 | 142 | {
"max_stars_repo_path": "footmark/ram/regioninfo.py",
"max_stars_repo_name": "rockzhu/footmark",
"max_stars_count": 0,
"id": "247",
"raw_source_hash": "533f945b702edd8a8ede58b245edac7c2dde9d824939411945924908b532dd9f",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 40,
"large... | {
"raw_source_hash": "533f945b702edd8a8ede58b245edac7c2dde9d824939411945924908b532dd9f",
"normalized_source_hash": "1ca2fd93027d13a71493ea06ff409beffac3dd1ede48092befe2c68dbceb820f",
"source_ast_hash": "805b4572c7d61bd9e15274cf1da765b392984bf147bc5956cba442a0d7d69b35",
"artifact_hash": "8aa2ce9969282335bfba184c... | true | true | null |
python_to_fr_plaincode | from footmark.regioninfo import RegionInfo
class RAMRegionInfo(RegionInfo):
"""
Represents an ram Region
"""
def __init__(self, connection=None, name=None, id=None,
connection_cls=None):
from footmark.ram.connection import RAMConnection
super(RAMRegionInfo, self).__in... | Charger RegionInfo depuis footmark.regioninfo.
Définir classe RAMRegionInfo héritant de RegionInfo:
Texte littéral:
""
" Represents an ram Region"
" ".
Définir méthode __init__ avec paramètres self, connection (par défaut: None), name (par défaut: None), id (par défaut: None), connection_cls (... | python | fr | run_002_20260417_060406 | 142 | {
"max_stars_repo_path": "footmark/ram/regioninfo.py",
"max_stars_repo_name": "rockzhu/footmark",
"max_stars_count": 0,
"id": "247",
"raw_source_hash": "533f945b702edd8a8ede58b245edac7c2dde9d824939411945924908b532dd9f",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 40,
"large... | {
"raw_source_hash": "533f945b702edd8a8ede58b245edac7c2dde9d824939411945924908b532dd9f",
"normalized_source_hash": "1ca2fd93027d13a71493ea06ff409beffac3dd1ede48092befe2c68dbceb820f",
"source_ast_hash": "805b4572c7d61bd9e15274cf1da765b392984bf147bc5956cba442a0d7d69b35",
"artifact_hash": "8aa2ce9969282335bfba184c... | true | true | null |
en_plaincode_to_python | Load RegionInfo from footmark.regioninfo.
Define class RAMRegionInfo inheriting from RegionInfo:
Text block:
""
" Represents an ram Region"
" ".
Define method __init__ with parameters self, connection (default: None), name (default: None), id (default: None), connection_cls (default: None):
... | from footmark.regioninfo import RegionInfo
class RAMRegionInfo(RegionInfo):
"""
Represents an ram Region
"""
def __init__(self, connection=None, name=None, id=None,
connection_cls=None):
from footmark.ram.connection import RAMConnection
super(RAMRegionInfo, self).__in... | en | python | run_002_20260417_060406 | 142 | {
"max_stars_repo_path": "footmark/ram/regioninfo.py",
"max_stars_repo_name": "rockzhu/footmark",
"max_stars_count": 0,
"id": "247",
"raw_source_hash": "533f945b702edd8a8ede58b245edac7c2dde9d824939411945924908b532dd9f",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 40,
"large... | {
"raw_source_hash": "533f945b702edd8a8ede58b245edac7c2dde9d824939411945924908b532dd9f",
"normalized_source_hash": "1ca2fd93027d13a71493ea06ff409beffac3dd1ede48092befe2c68dbceb820f",
"source_ast_hash": "805b4572c7d61bd9e15274cf1da765b392984bf147bc5956cba442a0d7d69b35",
"artifact_hash": "8aa2ce9969282335bfba184c... | true | true | null |
python_to_en_plaincode | from __future__ import absolute_import, division, print_function
import os
import json
from glue.core import Subset
DISPATCH = {}
def save_page(page, page_number, label, subset):
""" Convert a tab of a glue session into a D3PO page
:param page: Tuple of data viewers to save
:param label: Tab label
... | Load absolute_import, division, print_function from __future__.
Load os.
Load json.
Load Subset from glue.core.
Set DISPATCH to an empty dictionary.
Define function save_page with parameters page, page_number, label, subset:
Text block:
" Convert a tab of a glue session into a D3PO page"
""
" :param ... | python | en | run_002_20260417_060406 | 143 | {
"max_stars_repo_path": "glue/plugins/export_d3po.py",
"max_stars_repo_name": "sergiopasra/glue",
"max_stars_count": 1,
"id": "248",
"raw_source_hash": "e4c9caba5d550d76583e5a9c93c6303af626fe1a5be85b7e0630faff4b689840",
"sanitize_meta": {
"triple_block_count": 9,
"total_triple_chars": 2082,
"la... | {
"raw_source_hash": "e4c9caba5d550d76583e5a9c93c6303af626fe1a5be85b7e0630faff4b689840",
"normalized_source_hash": "81e0e4b81a87c4cddcea31b8b979d1f033eba81e1dd47739a27f1e81117dc95c",
"source_ast_hash": "ffe14deb0a39f61e2f1e95e7f1ef575a19cb33d0fc9d1502bae8ad58c67c428e",
"artifact_hash": "06b2f0448d4e1f10dc6240c4... | true | true | null |
python_to_es_plaincode | from __future__ import absolute_import, division, print_function
import os
import json
from glue.core import Subset
DISPATCH = {}
def save_page(page, page_number, label, subset):
""" Convert a tab of a glue session into a D3PO page
:param page: Tuple of data viewers to save
:param label: Tab label
... | Importar absolute_import, division, print_function desde __future__.
Importar os.
Importar json.
Importar Subset desde glue.core.
Establecer DISPATCH como un diccionario vacío.
Definir función save_page con parámetros page, page_number, label, subset:
Texto literal:
" Convert a tab of a glue session into a D3PO... | python | es | run_002_20260417_060406 | 143 | {
"max_stars_repo_path": "glue/plugins/export_d3po.py",
"max_stars_repo_name": "sergiopasra/glue",
"max_stars_count": 1,
"id": "248",
"raw_source_hash": "e4c9caba5d550d76583e5a9c93c6303af626fe1a5be85b7e0630faff4b689840",
"sanitize_meta": {
"triple_block_count": 9,
"total_triple_chars": 2082,
"la... | {
"raw_source_hash": "e4c9caba5d550d76583e5a9c93c6303af626fe1a5be85b7e0630faff4b689840",
"normalized_source_hash": "81e0e4b81a87c4cddcea31b8b979d1f033eba81e1dd47739a27f1e81117dc95c",
"source_ast_hash": "ffe14deb0a39f61e2f1e95e7f1ef575a19cb33d0fc9d1502bae8ad58c67c428e",
"artifact_hash": "06b2f0448d4e1f10dc6240c4... | true | true | null |
python_to_fr_plaincode | from __future__ import absolute_import, division, print_function
import os
import json
from glue.core import Subset
DISPATCH = {}
def save_page(page, page_number, label, subset):
""" Convert a tab of a glue session into a D3PO page
:param page: Tuple of data viewers to save
:param label: Tab label
... | Charger absolute_import, division, print_function depuis __future__.
Charger os.
Charger json.
Charger Subset depuis glue.core.
Affecter DISPATCH à un dictionnaire vide.
Définir fonction save_page avec paramètres page, page_number, label, subset:
Texte littéral:
" Convert a tab of a glue session into a D3PO pag... | python | fr | run_002_20260417_060406 | 143 | {
"max_stars_repo_path": "glue/plugins/export_d3po.py",
"max_stars_repo_name": "sergiopasra/glue",
"max_stars_count": 1,
"id": "248",
"raw_source_hash": "e4c9caba5d550d76583e5a9c93c6303af626fe1a5be85b7e0630faff4b689840",
"sanitize_meta": {
"triple_block_count": 9,
"total_triple_chars": 2082,
"la... | {
"raw_source_hash": "e4c9caba5d550d76583e5a9c93c6303af626fe1a5be85b7e0630faff4b689840",
"normalized_source_hash": "81e0e4b81a87c4cddcea31b8b979d1f033eba81e1dd47739a27f1e81117dc95c",
"source_ast_hash": "ffe14deb0a39f61e2f1e95e7f1ef575a19cb33d0fc9d1502bae8ad58c67c428e",
"artifact_hash": "06b2f0448d4e1f10dc6240c4... | true | true | null |
en_plaincode_to_python | Load absolute_import, division, print_function from __future__.
Load os.
Load json.
Load Subset from glue.core.
Set DISPATCH to an empty dictionary.
Define function save_page with parameters page, page_number, label, subset:
Text block:
" Convert a tab of a glue session into a D3PO page"
""
" :param ... | from __future__ import absolute_import, division, print_function
import os
import json
from glue.core import Subset
DISPATCH = {}
def save_page(page, page_number, label, subset):
""" Convert a tab of a glue session into a D3PO page
:param page: Tuple of data viewers to save
:param label: Tab label
... | en | python | run_002_20260417_060406 | 143 | {
"max_stars_repo_path": "glue/plugins/export_d3po.py",
"max_stars_repo_name": "sergiopasra/glue",
"max_stars_count": 1,
"id": "248",
"raw_source_hash": "e4c9caba5d550d76583e5a9c93c6303af626fe1a5be85b7e0630faff4b689840",
"sanitize_meta": {
"triple_block_count": 9,
"total_triple_chars": 2082,
"la... | {
"raw_source_hash": "e4c9caba5d550d76583e5a9c93c6303af626fe1a5be85b7e0630faff4b689840",
"normalized_source_hash": "81e0e4b81a87c4cddcea31b8b979d1f033eba81e1dd47739a27f1e81117dc95c",
"source_ast_hash": "ffe14deb0a39f61e2f1e95e7f1ef575a19cb33d0fc9d1502bae8ad58c67c428e",
"artifact_hash": "06b2f0448d4e1f10dc6240c4... | true | true | null |
python_to_en_plaincode | print('Crie sua P.A. de 10 termos')
n1 = int(input('Digite o primeiro termo da P.A.: '))
r = int(input('Digite a razão: '))
termo = n1
c = 1
print('A P.A. é (', end='')
while c <= 10:
print('{}'.format(termo), end='')
print(', ' if c < 10 else '', end='')
termo += r
c += 1
print(')') | Print "Crie sua P.A. de 10 termos".
Set n1 to int with (input with "Digite o primeiro termo da P.A.: ").
Set r to int with (input with "Digite a raz\xe3o: ").
Set termo to n1.
Set c to 1.
Call print with "A P.A. \xe9 (", end set to "".
While c is less than or equal to 10:
Call print with ("{}" dot format with termo... | python | en | run_002_20260417_060406 | 144 | {
"max_stars_repo_path": "exercicios/ex 061 a 070/ex061.py",
"max_stars_repo_name": "CarlosWillian/python",
"max_stars_count": 0,
"id": "249",
"raw_source_hash": "eb4a4bbb2c44dc54ba7ec76025d4f749b59b2b477acaa3a80813005d8de8a603",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "eb4a4bbb2c44dc54ba7ec76025d4f749b59b2b477acaa3a80813005d8de8a603",
"normalized_source_hash": "43c87d4acc15a81d5d8a68180b1e885b5f6347aada66587421a60876b572e2cc",
"source_ast_hash": "c0c72aaab103d55bb91ee50b09e87352626a2d3f7ecbb19c4d40136ce22ef7cf",
"artifact_hash": "5b3e024998fab2d15548a0e6... | true | true | null |
python_to_es_plaincode | print('Crie sua P.A. de 10 termos')
n1 = int(input('Digite o primeiro termo da P.A.: '))
r = int(input('Digite a razão: '))
termo = n1
c = 1
print('A P.A. é (', end='')
while c <= 10:
print('{}'.format(termo), end='')
print(', ' if c < 10 else '', end='')
termo += r
c += 1
print(')') | Imprimir "Crie sua P.A. de 10 termos".
Establecer n1 como int con (input con "Digite o primeiro termo da P.A.: ").
Establecer r como int con (input con "Digite a raz\xe3o: ").
Establecer termo como n1.
Establecer c como 1.
Llamar print con "A P.A. \xe9 (", end establecido a "".
Mientras c es menor o igual que 10:
L... | python | es | run_002_20260417_060406 | 144 | {
"max_stars_repo_path": "exercicios/ex 061 a 070/ex061.py",
"max_stars_repo_name": "CarlosWillian/python",
"max_stars_count": 0,
"id": "249",
"raw_source_hash": "eb4a4bbb2c44dc54ba7ec76025d4f749b59b2b477acaa3a80813005d8de8a603",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "eb4a4bbb2c44dc54ba7ec76025d4f749b59b2b477acaa3a80813005d8de8a603",
"normalized_source_hash": "43c87d4acc15a81d5d8a68180b1e885b5f6347aada66587421a60876b572e2cc",
"source_ast_hash": "c0c72aaab103d55bb91ee50b09e87352626a2d3f7ecbb19c4d40136ce22ef7cf",
"artifact_hash": "5b3e024998fab2d15548a0e6... | true | true | null |
python_to_fr_plaincode | print('Crie sua P.A. de 10 termos')
n1 = int(input('Digite o primeiro termo da P.A.: '))
r = int(input('Digite a razão: '))
termo = n1
c = 1
print('A P.A. é (', end='')
while c <= 10:
print('{}'.format(termo), end='')
print(', ' if c < 10 else '', end='')
termo += r
c += 1
print(')') | Afficher "Crie sua P.A. de 10 termos".
Affecter n1 à int avec (input avec "Digite o primeiro termo da P.A.: ").
Affecter r à int avec (input avec "Digite a raz\xe3o: ").
Affecter termo à n1.
Affecter c à 1.
Appeler print avec "A P.A. \xe9 (", end défini à "".
Tant que c est inférieur ou égal à 10:
Appeler print ave... | python | fr | run_002_20260417_060406 | 144 | {
"max_stars_repo_path": "exercicios/ex 061 a 070/ex061.py",
"max_stars_repo_name": "CarlosWillian/python",
"max_stars_count": 0,
"id": "249",
"raw_source_hash": "eb4a4bbb2c44dc54ba7ec76025d4f749b59b2b477acaa3a80813005d8de8a603",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "eb4a4bbb2c44dc54ba7ec76025d4f749b59b2b477acaa3a80813005d8de8a603",
"normalized_source_hash": "43c87d4acc15a81d5d8a68180b1e885b5f6347aada66587421a60876b572e2cc",
"source_ast_hash": "c0c72aaab103d55bb91ee50b09e87352626a2d3f7ecbb19c4d40136ce22ef7cf",
"artifact_hash": "5b3e024998fab2d15548a0e6... | true | true | null |
en_plaincode_to_python | Print "Crie sua P.A. de 10 termos".
Set n1 to int with (input with "Digite o primeiro termo da P.A.: ").
Set r to int with (input with "Digite a raz\xe3o: ").
Set termo to n1.
Set c to 1.
Call print with "A P.A. \xe9 (", end set to "".
While c is less than or equal to 10:
Call print with ("{}" dot format with termo... | print('Crie sua P.A. de 10 termos')
n1 = int(input('Digite o primeiro termo da P.A.: '))
r = int(input('Digite a razão: '))
termo = n1
c = 1
print('A P.A. é (', end='')
while c <= 10:
print('{}'.format(termo), end='')
print(', ' if c < 10 else '', end='')
termo += r
c += 1
print(')') | en | python | run_002_20260417_060406 | 144 | {
"max_stars_repo_path": "exercicios/ex 061 a 070/ex061.py",
"max_stars_repo_name": "CarlosWillian/python",
"max_stars_count": 0,
"id": "249",
"raw_source_hash": "eb4a4bbb2c44dc54ba7ec76025d4f749b59b2b477acaa3a80813005d8de8a603",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "eb4a4bbb2c44dc54ba7ec76025d4f749b59b2b477acaa3a80813005d8de8a603",
"normalized_source_hash": "43c87d4acc15a81d5d8a68180b1e885b5f6347aada66587421a60876b572e2cc",
"source_ast_hash": "c0c72aaab103d55bb91ee50b09e87352626a2d3f7ecbb19c4d40136ce22ef7cf",
"artifact_hash": "5b3e024998fab2d15548a0e6... | true | true | null |
python_to_en_plaincode | price = float(input())
puzzles = int(input())
dolls = int(input())
bears = int(input())
minions = int(input())
trucks = int(input())
total_toys = puzzles + dolls + bears + minions + trucks
price_puzzles = puzzles * 2.6
price_dolls = dolls * 3
price_bears = bears * 4.1
price_minions = minions * 8.2
price_trucks = tru... | Set price to float with (input with no values).
Set puzzles to int with (input with no values).
Set dolls to int with (input with no values).
Set bears to int with (input with no values).
Set minions to int with (input with no values).
Set trucks to int with (input with no values).
Set total_toys to puzzles plus dolls ... | python | en | run_002_20260417_060406 | 145 | {
"max_stars_repo_path": "PythonBasics/ConditionalStatements/Exercise/toy_shop.py",
"max_stars_repo_name": "achoraev/SoftUni",
"max_stars_count": 0,
"id": "251",
"raw_source_hash": "92fac2ddc6ba52e75b1df10077b9ca4d242d2d18e0afb4d4d73eaf6bfc3c748d",
"sanitize_meta": {
"triple_block_count": 0,
"total_... | {
"raw_source_hash": "92fac2ddc6ba52e75b1df10077b9ca4d242d2d18e0afb4d4d73eaf6bfc3c748d",
"normalized_source_hash": "dd29b7df92019834f7e37b91d08a95ce97631b86ef88b068bfd434b4a590f32d",
"source_ast_hash": "b993762770bb00655b5021b814b2e92a86629ed83af43c8193b446337e1dda15",
"artifact_hash": "87e7af1e6ea3d0472a97420f... | true | true | null |
python_to_es_plaincode | price = float(input())
puzzles = int(input())
dolls = int(input())
bears = int(input())
minions = int(input())
trucks = int(input())
total_toys = puzzles + dolls + bears + minions + trucks
price_puzzles = puzzles * 2.6
price_dolls = dolls * 3
price_bears = bears * 4.1
price_minions = minions * 8.2
price_trucks = tru... | Establecer price como float con (input sin argumentos).
Establecer puzzles como int con (input sin argumentos).
Establecer dolls como int con (input sin argumentos).
Establecer bears como int con (input sin argumentos).
Establecer minions como int con (input sin argumentos).
Establecer trucks como int con (input sin ar... | python | es | run_002_20260417_060406 | 145 | {
"max_stars_repo_path": "PythonBasics/ConditionalStatements/Exercise/toy_shop.py",
"max_stars_repo_name": "achoraev/SoftUni",
"max_stars_count": 0,
"id": "251",
"raw_source_hash": "92fac2ddc6ba52e75b1df10077b9ca4d242d2d18e0afb4d4d73eaf6bfc3c748d",
"sanitize_meta": {
"triple_block_count": 0,
"total_... | {
"raw_source_hash": "92fac2ddc6ba52e75b1df10077b9ca4d242d2d18e0afb4d4d73eaf6bfc3c748d",
"normalized_source_hash": "dd29b7df92019834f7e37b91d08a95ce97631b86ef88b068bfd434b4a590f32d",
"source_ast_hash": "b993762770bb00655b5021b814b2e92a86629ed83af43c8193b446337e1dda15",
"artifact_hash": "87e7af1e6ea3d0472a97420f... | true | true | null |
python_to_fr_plaincode | price = float(input())
puzzles = int(input())
dolls = int(input())
bears = int(input())
minions = int(input())
trucks = int(input())
total_toys = puzzles + dolls + bears + minions + trucks
price_puzzles = puzzles * 2.6
price_dolls = dolls * 3
price_bears = bears * 4.1
price_minions = minions * 8.2
price_trucks = tru... | Affecter price à float avec (input sans arguments).
Affecter puzzles à int avec (input sans arguments).
Affecter dolls à int avec (input sans arguments).
Affecter bears à int avec (input sans arguments).
Affecter minions à int avec (input sans arguments).
Affecter trucks à int avec (input sans arguments).
Affecter tota... | python | fr | run_002_20260417_060406 | 145 | {
"max_stars_repo_path": "PythonBasics/ConditionalStatements/Exercise/toy_shop.py",
"max_stars_repo_name": "achoraev/SoftUni",
"max_stars_count": 0,
"id": "251",
"raw_source_hash": "92fac2ddc6ba52e75b1df10077b9ca4d242d2d18e0afb4d4d73eaf6bfc3c748d",
"sanitize_meta": {
"triple_block_count": 0,
"total_... | {
"raw_source_hash": "92fac2ddc6ba52e75b1df10077b9ca4d242d2d18e0afb4d4d73eaf6bfc3c748d",
"normalized_source_hash": "dd29b7df92019834f7e37b91d08a95ce97631b86ef88b068bfd434b4a590f32d",
"source_ast_hash": "b993762770bb00655b5021b814b2e92a86629ed83af43c8193b446337e1dda15",
"artifact_hash": "87e7af1e6ea3d0472a97420f... | true | true | null |
en_plaincode_to_python | Set price to float with (input with no values).
Set puzzles to int with (input with no values).
Set dolls to int with (input with no values).
Set bears to int with (input with no values).
Set minions to int with (input with no values).
Set trucks to int with (input with no values).
Set total_toys to puzzles plus dolls ... | price = float(input())
puzzles = int(input())
dolls = int(input())
bears = int(input())
minions = int(input())
trucks = int(input())
total_toys = puzzles + dolls + bears + minions + trucks
price_puzzles = puzzles * 2.6
price_dolls = dolls * 3
price_bears = bears * 4.1
price_minions = minions * 8.2
price_trucks = tru... | en | python | run_002_20260417_060406 | 145 | {
"max_stars_repo_path": "PythonBasics/ConditionalStatements/Exercise/toy_shop.py",
"max_stars_repo_name": "achoraev/SoftUni",
"max_stars_count": 0,
"id": "251",
"raw_source_hash": "92fac2ddc6ba52e75b1df10077b9ca4d242d2d18e0afb4d4d73eaf6bfc3c748d",
"sanitize_meta": {
"triple_block_count": 0,
"total_... | {
"raw_source_hash": "92fac2ddc6ba52e75b1df10077b9ca4d242d2d18e0afb4d4d73eaf6bfc3c748d",
"normalized_source_hash": "dd29b7df92019834f7e37b91d08a95ce97631b86ef88b068bfd434b4a590f32d",
"source_ast_hash": "b993762770bb00655b5021b814b2e92a86629ed83af43c8193b446337e1dda15",
"artifact_hash": "87e7af1e6ea3d0472a97420f... | true | true | null |
python_to_en_plaincode | import datetime
from flask_wtf import FlaskForm
from wtforms import (
StringField,
TextAreaField,
DateTimeField,
HiddenField,
PasswordField,
)
from wtforms.validators import DataRequired, ValidationError, Email, EqualTo
class NullableDateTimeField(DateTimeField):
"""Modify DateField to allow f... | Load datetime.
Load FlaskForm from flask_wtf.
Load StringField, TextAreaField, DateTimeField, HiddenField, PasswordField from wtforms.
Load DataRequired, ValidationError, Email, EqualTo from wtforms.validators.
Define class NullableDateTimeField inheriting from DateTimeField:
Evaluate "Modify DateField to allow for... | python | en | run_002_20260417_060406 | 146 | {
"max_stars_repo_path": "bookshelf/main/forms.py",
"max_stars_repo_name": "thewordisbird/bookshelf",
"max_stars_count": 0,
"id": "253",
"raw_source_hash": "0e54e6003dbea176066569ce6922cca90b458f4d1c1dbd6d7c6f82e68a391c30",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 47,
"l... | {
"raw_source_hash": "0e54e6003dbea176066569ce6922cca90b458f4d1c1dbd6d7c6f82e68a391c30",
"normalized_source_hash": "70e3adf3de6fbcb6f7f3641513269082067d41e344f125569d7dfe73fe5d8a0d",
"source_ast_hash": "6fbedbe482e22cdbf336705543acc0f4f472e75003f2402cd7b1dd68fb524f8b",
"artifact_hash": "d1155526fce974db2bcd602a... | true | true | null |
python_to_es_plaincode | import datetime
from flask_wtf import FlaskForm
from wtforms import (
StringField,
TextAreaField,
DateTimeField,
HiddenField,
PasswordField,
)
from wtforms.validators import DataRequired, ValidationError, Email, EqualTo
class NullableDateTimeField(DateTimeField):
"""Modify DateField to allow f... | Importar datetime.
Importar FlaskForm desde flask_wtf.
Importar StringField, TextAreaField, DateTimeField, HiddenField, PasswordField desde wtforms.
Importar DataRequired, ValidationError, Email, EqualTo desde wtforms.validators.
Definir clase NullableDateTimeField heredando de DateTimeField:
Evaluar "Modify DateFi... | python | es | run_002_20260417_060406 | 146 | {
"max_stars_repo_path": "bookshelf/main/forms.py",
"max_stars_repo_name": "thewordisbird/bookshelf",
"max_stars_count": 0,
"id": "253",
"raw_source_hash": "0e54e6003dbea176066569ce6922cca90b458f4d1c1dbd6d7c6f82e68a391c30",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 47,
"l... | {
"raw_source_hash": "0e54e6003dbea176066569ce6922cca90b458f4d1c1dbd6d7c6f82e68a391c30",
"normalized_source_hash": "70e3adf3de6fbcb6f7f3641513269082067d41e344f125569d7dfe73fe5d8a0d",
"source_ast_hash": "6fbedbe482e22cdbf336705543acc0f4f472e75003f2402cd7b1dd68fb524f8b",
"artifact_hash": "d1155526fce974db2bcd602a... | true | true | null |
python_to_fr_plaincode | import datetime
from flask_wtf import FlaskForm
from wtforms import (
StringField,
TextAreaField,
DateTimeField,
HiddenField,
PasswordField,
)
from wtforms.validators import DataRequired, ValidationError, Email, EqualTo
class NullableDateTimeField(DateTimeField):
"""Modify DateField to allow f... | Charger datetime.
Charger FlaskForm depuis flask_wtf.
Charger StringField, TextAreaField, DateTimeField, HiddenField, PasswordField depuis wtforms.
Charger DataRequired, ValidationError, Email, EqualTo depuis wtforms.validators.
Définir classe NullableDateTimeField héritant de DateTimeField:
Évaluer "Modify DateFie... | python | fr | run_002_20260417_060406 | 146 | {
"max_stars_repo_path": "bookshelf/main/forms.py",
"max_stars_repo_name": "thewordisbird/bookshelf",
"max_stars_count": 0,
"id": "253",
"raw_source_hash": "0e54e6003dbea176066569ce6922cca90b458f4d1c1dbd6d7c6f82e68a391c30",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 47,
"l... | {
"raw_source_hash": "0e54e6003dbea176066569ce6922cca90b458f4d1c1dbd6d7c6f82e68a391c30",
"normalized_source_hash": "70e3adf3de6fbcb6f7f3641513269082067d41e344f125569d7dfe73fe5d8a0d",
"source_ast_hash": "6fbedbe482e22cdbf336705543acc0f4f472e75003f2402cd7b1dd68fb524f8b",
"artifact_hash": "d1155526fce974db2bcd602a... | true | true | null |
en_plaincode_to_python | Load datetime.
Load FlaskForm from flask_wtf.
Load StringField, TextAreaField, DateTimeField, HiddenField, PasswordField from wtforms.
Load DataRequired, ValidationError, Email, EqualTo from wtforms.validators.
Define class NullableDateTimeField inheriting from DateTimeField:
Evaluate "Modify DateField to allow for... | import datetime
from flask_wtf import FlaskForm
from wtforms import (
StringField,
TextAreaField,
DateTimeField,
HiddenField,
PasswordField,
)
from wtforms.validators import DataRequired, ValidationError, Email, EqualTo
class NullableDateTimeField(DateTimeField):
"""Modify DateField to allow f... | en | python | run_002_20260417_060406 | 146 | {
"max_stars_repo_path": "bookshelf/main/forms.py",
"max_stars_repo_name": "thewordisbird/bookshelf",
"max_stars_count": 0,
"id": "253",
"raw_source_hash": "0e54e6003dbea176066569ce6922cca90b458f4d1c1dbd6d7c6f82e68a391c30",
"sanitize_meta": {
"triple_block_count": 1,
"total_triple_chars": 47,
"l... | {
"raw_source_hash": "0e54e6003dbea176066569ce6922cca90b458f4d1c1dbd6d7c6f82e68a391c30",
"normalized_source_hash": "70e3adf3de6fbcb6f7f3641513269082067d41e344f125569d7dfe73fe5d8a0d",
"source_ast_hash": "6fbedbe482e22cdbf336705543acc0f4f472e75003f2402cd7b1dd68fb524f8b",
"artifact_hash": "d1155526fce974db2bcd602a... | true | true | null |
python_to_en_plaincode | #!/usr/bin/env python
import time
from package.oss.cov_json import get_json_report
from package.oss.init import initialization
from package.tool.summarize_jsons import summarize_jsons
from package.util.setting import TestPlatform
def report_coverage() -> None:
start_time = time.time()
(options, test_list, in... | # !/usr/bin/env python
Load time.
Load get_json_report from package.oss.cov_json.
Load initialization from package.oss.init.
Load summarize_jsons from package.tool.summarize_jsons.
Load TestPlatform from package.util.setting.
Define function report_coverage with return type None:
Set start_time to time dot time wit... | python | en | run_002_20260417_060406 | 147 | {
"max_stars_repo_path": "pytorch-frontend/tools/code_coverage/oss_coverage.py",
"max_stars_repo_name": "AndreasKaratzas/stonne",
"max_stars_count": 40,
"id": "259",
"raw_source_hash": "54d6715f551df3af9933ac851ce3d212f39f8a424cbe576d6371cd7fa8fef3e0",
"sanitize_meta": {
"triple_block_count": 0,
"to... | {
"raw_source_hash": "54d6715f551df3af9933ac851ce3d212f39f8a424cbe576d6371cd7fa8fef3e0",
"normalized_source_hash": "5e3ee357f407b43c757b5ae2c0f47fb5bc8ba55f7bfdff5cb781ffe3dcfdb34d",
"source_ast_hash": "0e92a83a84bad65f24bf6d9d6f71720430fa7f16c3e8514fcc5fac345dad08ba",
"artifact_hash": "7f963b4148603ce82d2bf603... | true | true | null |
python_to_es_plaincode | #!/usr/bin/env python
import time
from package.oss.cov_json import get_json_report
from package.oss.init import initialization
from package.tool.summarize_jsons import summarize_jsons
from package.util.setting import TestPlatform
def report_coverage() -> None:
start_time = time.time()
(options, test_list, in... | # !/usr/bin/env python
Importar time.
Importar get_json_report desde paquete.oss.cov_json.
Importar initialization desde paquete.oss.init.
Importar summarize_jsons desde paquete.tool.summarize_jsons.
Importar TestPlatform desde paquete.util.setting.
Definir función report_coverage con tipo de retorno None:
Establec... | python | es | run_002_20260417_060406 | 147 | {
"max_stars_repo_path": "pytorch-frontend/tools/code_coverage/oss_coverage.py",
"max_stars_repo_name": "AndreasKaratzas/stonne",
"max_stars_count": 40,
"id": "259",
"raw_source_hash": "54d6715f551df3af9933ac851ce3d212f39f8a424cbe576d6371cd7fa8fef3e0",
"sanitize_meta": {
"triple_block_count": 0,
"to... | {
"raw_source_hash": "54d6715f551df3af9933ac851ce3d212f39f8a424cbe576d6371cd7fa8fef3e0",
"normalized_source_hash": "5e3ee357f407b43c757b5ae2c0f47fb5bc8ba55f7bfdff5cb781ffe3dcfdb34d",
"source_ast_hash": "0e92a83a84bad65f24bf6d9d6f71720430fa7f16c3e8514fcc5fac345dad08ba",
"artifact_hash": "7f963b4148603ce82d2bf603... | true | true | null |
python_to_fr_plaincode | #!/usr/bin/env python
import time
from package.oss.cov_json import get_json_report
from package.oss.init import initialization
from package.tool.summarize_jsons import summarize_jsons
from package.util.setting import TestPlatform
def report_coverage() -> None:
start_time = time.time()
(options, test_list, in... | # !/usr/bin/env python
Charger time.
Charger get_json_report depuis paquet.oss.cov_json.
Charger initialization depuis paquet.oss.init.
Charger summarize_jsons depuis paquet.tool.summarize_jsons.
Charger TestPlatform depuis paquet.util.setting.
Définir fonction report_coverage avec type de retour None:
Affecter sta... | python | fr | run_002_20260417_060406 | 147 | {
"max_stars_repo_path": "pytorch-frontend/tools/code_coverage/oss_coverage.py",
"max_stars_repo_name": "AndreasKaratzas/stonne",
"max_stars_count": 40,
"id": "259",
"raw_source_hash": "54d6715f551df3af9933ac851ce3d212f39f8a424cbe576d6371cd7fa8fef3e0",
"sanitize_meta": {
"triple_block_count": 0,
"to... | {
"raw_source_hash": "54d6715f551df3af9933ac851ce3d212f39f8a424cbe576d6371cd7fa8fef3e0",
"normalized_source_hash": "5e3ee357f407b43c757b5ae2c0f47fb5bc8ba55f7bfdff5cb781ffe3dcfdb34d",
"source_ast_hash": "0e92a83a84bad65f24bf6d9d6f71720430fa7f16c3e8514fcc5fac345dad08ba",
"artifact_hash": "7f963b4148603ce82d2bf603... | true | true | null |
en_plaincode_to_python | # !/usr/bin/env python
Load time.
Load get_json_report from package.oss.cov_json.
Load initialization from package.oss.init.
Load summarize_jsons from package.tool.summarize_jsons.
Load TestPlatform from package.util.setting.
Define function report_coverage with return type None:
Set start_time to time dot time wit... | #!/usr/bin/env python
import time
from package.oss.cov_json import get_json_report
from package.oss.init import initialization
from package.tool.summarize_jsons import summarize_jsons
from package.util.setting import TestPlatform
def report_coverage() -> None:
start_time = time.time()
(options, test_list, in... | en | python | run_002_20260417_060406 | 147 | {
"max_stars_repo_path": "pytorch-frontend/tools/code_coverage/oss_coverage.py",
"max_stars_repo_name": "AndreasKaratzas/stonne",
"max_stars_count": 40,
"id": "259",
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"sanitize_meta": {
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"to... | {
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"artifact_hash": "7f963b4148603ce82d2bf603... | true | true | null |
python_to_en_plaincode | # This file is part of groupthink.
# https://github.com/emanuelfeld/groupthink
# This project is in the public domain within the United States.
# Additionally, the Government of the District of Columbia waives
# copyright and related rights in the work worldwide through the CC0 1.0
# Universal public domain dedication... | # This file is part of groupthink.
# https://github.com/emanuelfeld/groupthink
# This project is in the public domain within the United States.
# Additionally, the Government of the District of Columbia waives
# copyright and related rights in the work worldwide through the CC0 1.0
# Universal public domain dedication.... | python | en | run_002_20260417_060406 | 148 | {
"max_stars_repo_path": "groupthink/version.py",
"max_stars_repo_name": "emanuelfeld/groupthink",
"max_stars_count": 1,
"id": "261",
"raw_source_hash": "ae30ad4cfa4ba30073bbeca3ee06aa1632955a18ff2ff6fcc0f30133fa05a9c0",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"large... | {
"raw_source_hash": "ae30ad4cfa4ba30073bbeca3ee06aa1632955a18ff2ff6fcc0f30133fa05a9c0",
"normalized_source_hash": "18f73a4d8e3d645eb55e745e21798bf7a641981b2a712a307a5ddf642509c27d",
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"artifact_hash": "447e66dcc8c16fdf4bc823f9... | true | true | null |
python_to_es_plaincode | # This file is part of groupthink.
# https://github.com/emanuelfeld/groupthink
# This project is in the public domain within the United States.
# Additionally, the Government of the District of Columbia waives
# copyright and related rights in the work worldwide through the CC0 1.0
# Universal public domain dedication... | # This file es part de groupthink.
# https://github.com/emanuelfeld/groupthink
# This project está en the public domain within the United States.
# Additionally, the Government de the District de Columbia waives
# copyright y también related rights en the work worldwide through the CC0 1.0
# Universal public domain ded... | python | es | run_002_20260417_060406 | 148 | {
"max_stars_repo_path": "groupthink/version.py",
"max_stars_repo_name": "emanuelfeld/groupthink",
"max_stars_count": 1,
"id": "261",
"raw_source_hash": "ae30ad4cfa4ba30073bbeca3ee06aa1632955a18ff2ff6fcc0f30133fa05a9c0",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"large... | {
"raw_source_hash": "ae30ad4cfa4ba30073bbeca3ee06aa1632955a18ff2ff6fcc0f30133fa05a9c0",
"normalized_source_hash": "18f73a4d8e3d645eb55e745e21798bf7a641981b2a712a307a5ddf642509c27d",
"source_ast_hash": "8fbce6b47b6825a4406c9518f07bbc55adafb977480a14a0e0b67314f7e1fa48",
"artifact_hash": "447e66dcc8c16fdf4bc823f9... | true | true | null |
python_to_fr_plaincode | # This file is part of groupthink.
# https://github.com/emanuelfeld/groupthink
# This project is in the public domain within the United States.
# Additionally, the Government of the District of Columbia waives
# copyright and related rights in the work worldwide through the CC0 1.0
# Universal public domain dedication... | # This file est part de groupthink.
# https://github.com/emanuelfeld/groupthink
# This project est dans the public domain within the United States.
# Additionally, the Government de the District de Columbia waives
# copyright et related rights dans the work worldwide through the CC0 1.0
# Universal public domain dedica... | python | fr | run_002_20260417_060406 | 148 | {
"max_stars_repo_path": "groupthink/version.py",
"max_stars_repo_name": "emanuelfeld/groupthink",
"max_stars_count": 1,
"id": "261",
"raw_source_hash": "ae30ad4cfa4ba30073bbeca3ee06aa1632955a18ff2ff6fcc0f30133fa05a9c0",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"large... | {
"raw_source_hash": "ae30ad4cfa4ba30073bbeca3ee06aa1632955a18ff2ff6fcc0f30133fa05a9c0",
"normalized_source_hash": "18f73a4d8e3d645eb55e745e21798bf7a641981b2a712a307a5ddf642509c27d",
"source_ast_hash": "8fbce6b47b6825a4406c9518f07bbc55adafb977480a14a0e0b67314f7e1fa48",
"artifact_hash": "447e66dcc8c16fdf4bc823f9... | true | true | null |
en_plaincode_to_python | # This file is part of groupthink.
# https://github.com/emanuelfeld/groupthink
# This project is in the public domain within the United States.
# Additionally, the Government of the District of Columbia waives
# copyright and related rights in the work worldwide through the CC0 1.0
# Universal public domain dedication.... | # This file is part of groupthink.
# https://github.com/emanuelfeld/groupthink
# This project is in the public domain within the United States.
# Additionally, the Government of the District of Columbia waives
# copyright and related rights in the work worldwide through the CC0 1.0
# Universal public domain dedication... | en | python | run_002_20260417_060406 | 148 | {
"max_stars_repo_path": "groupthink/version.py",
"max_stars_repo_name": "emanuelfeld/groupthink",
"max_stars_count": 1,
"id": "261",
"raw_source_hash": "ae30ad4cfa4ba30073bbeca3ee06aa1632955a18ff2ff6fcc0f30133fa05a9c0",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
"large... | {
"raw_source_hash": "ae30ad4cfa4ba30073bbeca3ee06aa1632955a18ff2ff6fcc0f30133fa05a9c0",
"normalized_source_hash": "18f73a4d8e3d645eb55e745e21798bf7a641981b2a712a307a5ddf642509c27d",
"source_ast_hash": "8fbce6b47b6825a4406c9518f07bbc55adafb977480a14a0e0b67314f7e1fa48",
"artifact_hash": "447e66dcc8c16fdf4bc823f9... | true | true | null |
python_to_en_plaincode | # Generated by Django 4.0.2 on 2022-03-02 03:29
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('vit'... | # Generated by Django 4.0.2 on 2022-03-02 03:29
Load settings from django.conf.
Load migrations, models from django.db.
Load django.db.models.deletion.
Define class Migration inheriting from migrations.Migration:
Set initial to True.
Set dependencies to the list [
(migrations dot swappable_dependency with s... | python | en | run_002_20260417_060406 | 149 | {
"max_stars_repo_path": "apps/core/migrations/0001_initial.py",
"max_stars_repo_name": "Visualway/Vitary",
"max_stars_count": 4,
"id": "263",
"raw_source_hash": "e3c0f8c78b7b3b31d9ff4704bf858276ea8a967d8110b3063f3e565373752079",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "e3c0f8c78b7b3b31d9ff4704bf858276ea8a967d8110b3063f3e565373752079",
"normalized_source_hash": "f25de59802b3725ae79e64fc75ef26cb5f4917ae95b05465eac8c77cec66a038",
"source_ast_hash": "24cff8c0bcd075eeba8509d87b98ce3f5ce1e8b46295bddb9771549a6b1ce058",
"artifact_hash": "26a13328567a5e5c3bb57302... | true | true | null |
python_to_es_plaincode | # Generated by Django 4.0.2 on 2022-03-02 03:29
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('vit'... | # Generated por Django 4.0.2 on 2022-03-02 03:29
Importar settings desde django.conf.
Importar migrations, models desde django.db.
Importar django.db.models.deletion.
Definir clase Migration heredando de migrations.Migration:
Establecer initial como True.
Establecer dependencies como la lista [
(migrations ... | python | es | run_002_20260417_060406 | 149 | {
"max_stars_repo_path": "apps/core/migrations/0001_initial.py",
"max_stars_repo_name": "Visualway/Vitary",
"max_stars_count": 4,
"id": "263",
"raw_source_hash": "e3c0f8c78b7b3b31d9ff4704bf858276ea8a967d8110b3063f3e565373752079",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "e3c0f8c78b7b3b31d9ff4704bf858276ea8a967d8110b3063f3e565373752079",
"normalized_source_hash": "f25de59802b3725ae79e64fc75ef26cb5f4917ae95b05465eac8c77cec66a038",
"source_ast_hash": "24cff8c0bcd075eeba8509d87b98ce3f5ce1e8b46295bddb9771549a6b1ce058",
"artifact_hash": "26a13328567a5e5c3bb57302... | true | true | null |
python_to_fr_plaincode | # Generated by Django 4.0.2 on 2022-03-02 03:29
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('vit'... | # Generated par Django 4.0.2 on 2022-03-02 03:29
Charger settings depuis django.conf.
Charger migrations, models depuis django.db.
Charger django.db.models.deletion.
Définir classe Migration héritant de migrations.Migration:
Affecter initial à True.
Affecter dependencies à la liste [
(migrations point de sw... | python | fr | run_002_20260417_060406 | 149 | {
"max_stars_repo_path": "apps/core/migrations/0001_initial.py",
"max_stars_repo_name": "Visualway/Vitary",
"max_stars_count": 4,
"id": "263",
"raw_source_hash": "e3c0f8c78b7b3b31d9ff4704bf858276ea8a967d8110b3063f3e565373752079",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "e3c0f8c78b7b3b31d9ff4704bf858276ea8a967d8110b3063f3e565373752079",
"normalized_source_hash": "f25de59802b3725ae79e64fc75ef26cb5f4917ae95b05465eac8c77cec66a038",
"source_ast_hash": "24cff8c0bcd075eeba8509d87b98ce3f5ce1e8b46295bddb9771549a6b1ce058",
"artifact_hash": "26a13328567a5e5c3bb57302... | true | true | null |
en_plaincode_to_python | # Generated by Django 4.0.2 on 2022-03-02 03:29
Load settings from django.conf.
Load migrations, models from django.db.
Load django.db.models.deletion.
Define class Migration inheriting from migrations.Migration:
Set initial to True.
Set dependencies to the list [
(migrations dot swappable_dependency with s... | # Generated by Django 4.0.2 on 2022-03-02 03:29
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('vit'... | en | python | run_002_20260417_060406 | 149 | {
"max_stars_repo_path": "apps/core/migrations/0001_initial.py",
"max_stars_repo_name": "Visualway/Vitary",
"max_stars_count": 4,
"id": "263",
"raw_source_hash": "e3c0f8c78b7b3b31d9ff4704bf858276ea8a967d8110b3063f3e565373752079",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_chars": 0,
... | {
"raw_source_hash": "e3c0f8c78b7b3b31d9ff4704bf858276ea8a967d8110b3063f3e565373752079",
"normalized_source_hash": "f25de59802b3725ae79e64fc75ef26cb5f4917ae95b05465eac8c77cec66a038",
"source_ast_hash": "24cff8c0bcd075eeba8509d87b98ce3f5ce1e8b46295bddb9771549a6b1ce058",
"artifact_hash": "26a13328567a5e5c3bb57302... | true | true | null |
python_to_en_plaincode | import os
import subprocess
import time
import grpc
import tests.rpc.proto.schema_registry_pb2 as pb2
import tests.rpc.proto.schema_registry_pb2_grpc as pb2_grpc
from tests.common.postgres import PostgresConfig
EXE = os.getenv('SCHEMA_REGISTRY_EXE') or 'schema-registry'
class SchemaRegistry:
def __init__(self,
... | Load os.
Load subprocess.
Load time.
Load grpc.
Load tests.rpc.proto.schema_registry_pb2, referred to as pb2.
Load tests.rpc.proto.schema_registry_pb2_grpc, referred to as pb2_grpc.
Load PostgresConfig from tests.common.postgres.
Set EXE to (os dot getenv with "SCHEMA_REGISTRY_EXE") or "schema-registry".
Define class S... | python | en | run_002_20260417_060406 | 150 | {
"max_stars_repo_path": "tests/common/schema_registry.py",
"max_stars_repo_name": "epiphany-platform/cdl-temporary",
"max_stars_count": 8,
"id": "264",
"raw_source_hash": "175906b689cb69e55b7892c36e491628b06748dcce2549f8254f10461399eff9",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_ch... | {
"raw_source_hash": "175906b689cb69e55b7892c36e491628b06748dcce2549f8254f10461399eff9",
"normalized_source_hash": "4413dbceb55b47de0b6a56276f9cfff74f0e41059b71153bc6f642116f6cfc9b",
"source_ast_hash": "d5210396817e6087b5044486ca6eefb6c5b86b1adfae31cd5e05104f9bc95b64",
"artifact_hash": "91ae8f9552bb66043a26050e... | true | true | null |
python_to_es_plaincode | import os
import subprocess
import time
import grpc
import tests.rpc.proto.schema_registry_pb2 as pb2
import tests.rpc.proto.schema_registry_pb2_grpc as pb2_grpc
from tests.common.postgres import PostgresConfig
EXE = os.getenv('SCHEMA_REGISTRY_EXE') or 'schema-registry'
class SchemaRegistry:
def __init__(self,
... | Importar os.
Importar subprocess.
Importar time.
Importar grpc.
Importar tests.rpc.proto.schema_registry_pb2, referido como pb2.
Importar tests.rpc.proto.schema_registry_pb2_grpc, referido como pb2_grpc.
Importar PostgresConfig desde tests.common.postgres.
Establecer EXE como (os punto getenv con "SCHEMA_REGISTRY_EXE")... | python | es | run_002_20260417_060406 | 150 | {
"max_stars_repo_path": "tests/common/schema_registry.py",
"max_stars_repo_name": "epiphany-platform/cdl-temporary",
"max_stars_count": 8,
"id": "264",
"raw_source_hash": "175906b689cb69e55b7892c36e491628b06748dcce2549f8254f10461399eff9",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_ch... | {
"raw_source_hash": "175906b689cb69e55b7892c36e491628b06748dcce2549f8254f10461399eff9",
"normalized_source_hash": "4413dbceb55b47de0b6a56276f9cfff74f0e41059b71153bc6f642116f6cfc9b",
"source_ast_hash": "d5210396817e6087b5044486ca6eefb6c5b86b1adfae31cd5e05104f9bc95b64",
"artifact_hash": "91ae8f9552bb66043a26050e... | true | true | null |
python_to_fr_plaincode | import os
import subprocess
import time
import grpc
import tests.rpc.proto.schema_registry_pb2 as pb2
import tests.rpc.proto.schema_registry_pb2_grpc as pb2_grpc
from tests.common.postgres import PostgresConfig
EXE = os.getenv('SCHEMA_REGISTRY_EXE') or 'schema-registry'
class SchemaRegistry:
def __init__(self,
... | Charger os.
Charger subprocess.
Charger time.
Charger grpc.
Charger tests.rpc.proto.schema_registry_pb2, référé comme pb2.
Charger tests.rpc.proto.schema_registry_pb2_grpc, référé comme pb2_grpc.
Charger PostgresConfig depuis tests.common.postgres.
Affecter EXE à (os point de getenv avec "SCHEMA_REGISTRY_EXE") ou "sche... | python | fr | run_002_20260417_060406 | 150 | {
"max_stars_repo_path": "tests/common/schema_registry.py",
"max_stars_repo_name": "epiphany-platform/cdl-temporary",
"max_stars_count": 8,
"id": "264",
"raw_source_hash": "175906b689cb69e55b7892c36e491628b06748dcce2549f8254f10461399eff9",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_ch... | {
"raw_source_hash": "175906b689cb69e55b7892c36e491628b06748dcce2549f8254f10461399eff9",
"normalized_source_hash": "4413dbceb55b47de0b6a56276f9cfff74f0e41059b71153bc6f642116f6cfc9b",
"source_ast_hash": "d5210396817e6087b5044486ca6eefb6c5b86b1adfae31cd5e05104f9bc95b64",
"artifact_hash": "91ae8f9552bb66043a26050e... | true | true | null |
en_plaincode_to_python | Load os.
Load subprocess.
Load time.
Load grpc.
Load tests.rpc.proto.schema_registry_pb2, referred to as pb2.
Load tests.rpc.proto.schema_registry_pb2_grpc, referred to as pb2_grpc.
Load PostgresConfig from tests.common.postgres.
Set EXE to (os dot getenv with "SCHEMA_REGISTRY_EXE") or "schema-registry".
Define class S... | import os
import subprocess
import time
import grpc
import tests.rpc.proto.schema_registry_pb2 as pb2
import tests.rpc.proto.schema_registry_pb2_grpc as pb2_grpc
from tests.common.postgres import PostgresConfig
EXE = os.getenv('SCHEMA_REGISTRY_EXE') or 'schema-registry'
class SchemaRegistry:
def __init__(self,
... | en | python | run_002_20260417_060406 | 150 | {
"max_stars_repo_path": "tests/common/schema_registry.py",
"max_stars_repo_name": "epiphany-platform/cdl-temporary",
"max_stars_count": 8,
"id": "264",
"raw_source_hash": "175906b689cb69e55b7892c36e491628b06748dcce2549f8254f10461399eff9",
"sanitize_meta": {
"triple_block_count": 0,
"total_triple_ch... | {
"raw_source_hash": "175906b689cb69e55b7892c36e491628b06748dcce2549f8254f10461399eff9",
"normalized_source_hash": "4413dbceb55b47de0b6a56276f9cfff74f0e41059b71153bc6f642116f6cfc9b",
"source_ast_hash": "d5210396817e6087b5044486ca6eefb6c5b86b1adfae31cd5e05104f9bc95b64",
"artifact_hash": "91ae8f9552bb66043a26050e... | true | true | null |
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