From 73170048334d45708f1369479d429a76988c5aa1 Mon Sep 17 00:00:00 2001 From: David-OC17 Date: Thu, 3 Oct 2024 18:36:11 -0600 Subject: [PATCH 1/4] New bilingual_document example use --- examples/bilingual_document.ipynb | 303 ++++++++++++++++++++++++++++++ 1 file changed, 303 insertions(+) create mode 100644 examples/bilingual_document.ipynb diff --git a/examples/bilingual_document.ipynb b/examples/bilingual_document.ipynb new file mode 100644 index 0000000..2e187f7 --- /dev/null +++ b/examples/bilingual_document.ipynb @@ -0,0 +1,303 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Bilingual document translation\n", + "\n", + "In this example we show an application of SONAR as a means of translation for study or language exploration.\n", + "We present the novel _The Metamorphosis_ by Franz Kafka in its English version, alongside the translation to German and Spanish." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + 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Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "%pip install sonar-space\n", + "\n", + "from sonar.inference_pipelines.text import TextToTextModelPipeline, TextToEmbeddingModelPipeline\n", + "\n", + "from sonar.models.sonar_text import (\n", + " load_sonar_text_decoder_model,\n", + " load_sonar_text_encoder_model,\n", + " load_sonar_tokenizer,\n", + ")\n", + "\n", + "import torch\n", + "device = torch.device(\"cpu\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "eng_sentences = ['One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug.', 'He lay on his armour-hard back and saw, as he lifted his head up a little, his brown, arched abdomen divided up into rigid bow-like sections.', 'From this height the blanket, just about ready to slide off completely, could hardly stay in place.', 'His numerous legs, pitifully thin in comparison to the rest of his circumference, flickered helplessly before his eyes.', '\"What\\'s happened to me,\" he thought.', 'It was no dream.', 'His room, a proper room for a human being, only somewhat too small, lay quietly between the four well-known walls.', 'Above the table, on which an unpacked collection of sample cloth goods was spread out (Samsa was a traveling salesman) hung the picture which he had cut out of an illustrated magazine a little while ago and set in a pretty gilt frame.', 'It was a picture of a woman with a fur hat and a fur boa.', 'She sat erect there, lifting up in the direction of the viewer a solid fur muff into which her entire forearm disappeared.', \"Gregor's glance then turned to the window.\", 'The dreary weather (the rain drops were falling audibly down on the metal window ledge) made him quite melancholy.', '\"Why don\\'t I keep sleeping for a little while longer and forget all this foolishness,\" he thought.', \"But this was entirely impractical, for he was used to sleeping on his right side, and in his present state he couldn't get himself into this position.\", 'No matter how hard he threw himself onto his right side, he always rolled again onto his back.', 'He must have tried it a hundred times, closing his eyes, so that he would not have to see the wriggling legs, and gave up only when he began to feel a light, dull pain in his side which he had never felt before.', '\"O God,\" he thought, \"what a demanding job I\\'ve chosen!', 'Day in, day out on the road.', 'The stresses of trade are much greater than the work going on at head office, and, in addition to that, I have to deal with the problems of traveling, the worries about train connections, irregular bad food, temporary and constantly changing human relationships which never come from the heart.', 'To hell with it all!\"', 'He felt a slight itching on the top of his abdomen.', 'He slowly pushed himself on his back closer to the bed post so that he could lift his head more easily, found the itchy part, which was entirely covered with small white spots (he did not know what to make of them), and wanted to feel the place with a leg.', 'But he retracted it immediately, for the contact felt like a cold shower all over him.', 'He slid back again into his earlier position.', '\"This getting up early,\" he thought, \"makes a man quite idiotic.', 'A man must have his sleep.', 'Other traveling salesmen live like harem women.', 'For instance, when I come back to the inn during the course of the morning to write up the necessary orders, these gentlemen are just sitting down to breakfast.', \"If I were to try that with my boss, I'd be thrown out on the spot.\", \"Still, who knows whether that mightn't be really good for me.\", \"If I didn't hold back for my parents' sake, I would've quit ages ago.\", \"I would've gone to the boss and told him just what I think from the bottom of my heart.\", \"He would've fallen right off his desk!\", 'How weird it is to sit up at the desk and talk down to the employee from way up there.', 'The boss has trouble hearing, so the employee has to step up quite close to him.', \"Anyway, I haven't completely given up that hope yet.\", \"Once I've got together the money to pay off the parents' debt to him--that should take another five or six years--I'll do it for sure.\", \"Then I'll make the big break.\", 'In any case, right now I have to get up.', 'My train leaves at five o\\'clock.\"', 'And he looked over at the alarm clock ticking away by the chest of drawers.', '\"Good God,\" he thought.', 'It was half past six, and the hands were going quietly on.', 'It was past the half hour, already nearly quarter to.', 'Could the alarm have failed to ring?', \"One saw from the bed that it was properly set for four o'clock.\", 'Certainly it had rung.', 'Yes, but was it possible to sleep through this noise that made the furniture shake?', \"Now, it's true he'd not slept quietly, but evidently he'd slept all the more deeply.\", 'Still, what should he do now?', \"The next train left at seven o'clock.\", 'To catch that one, he would have to go in a mad rush.', \"The sample collection wasn't packed up yet, and he really didn't feel particularly fresh and active.\", \"And even if he caught the train, there was no avoiding a blow up with the boss, because the firm's errand boy would've waited for the five o'clock train and reported the news of his absence long ago.\", \"He was the boss's minion, without backbone or intelligence.\", 'Well then, what if he reported in sick?', \"But that would be extremely embarrassing and suspicious, because during his five years' service Gregor hadn't been sick even once.\", \"The boss would certainly come with the doctor from the health insurance company and would reproach his parents for their lazy son and cut short all objections with the insurance doctor's comments; for him everyone was completely healthy but really lazy about work.\", 'And besides, would the doctor in this case be totally wrong?', 'Apart from a really excessive drowsiness after the long sleep, Gregor in fact felt quite well and even had a really strong appetite.']\n", + "spa_sentences = ['Cuando Gregorio Samsa se despertó una mañana después de un sueño intranquilo, se encontró sobre su cama convertido en un monstruoso insecto.', 'Estaba tumbado sobre su espalda dura, y en forma de caparazón y, al levantar un poco la cabeza, veía un vientre abombado, parduzco, dividido por partes duras en forma de arco, sobre cuya protuberancia apenas podía mantenerse el cobertor, a punto ya de resbalar al suelo.', 'Sus muchas patas, ridículamente pequeñas en comparación con el resto de su tamaño, le vibraban desamparadas ante los ojos.', '«¿Qué me ha ocurrido?», pensó.', 'No era un sueño.', 'Su habitación, una auténtica habitación humana, si bien algo pequeña, permanecía tranquila entre las cuatro paredes harto conocidas.', 'Por encima de la mesa, sobre la que se encontraba extendido un muestrario de paños desempaquetados – Samsa era viajante de comercio –, estaba colgado aquel cuadro, que hacía poco había recortado de una revista y había colocado en un bonito marco dorado.', 'Representaba a una dama ataviada con un sombrero y una boa” de piel, que estaba allí, sentada muy erguida y levantaba hacia el observador un pesado manguito de piel, en el cual había desaparecido su antebrazo.', 'La mirada de Gregorio se dirigió después hacia la ventana, y el tiempo lluvioso se oían caer gotas de lluvia sobre la chapa del alfeizar de la ventana – le ponía muy melancólico. « ¿Qué pasaría – pensó – si durmiese un poco más y olvidase todas las chifladuras?»', 'Pero esto era algo absolutamente imposible, porque estaba acostumbrado a dormir del lado derecho, pero en su estado actual no podía ponerse de ese lado.', 'Aunque se lanzase con mucha fuerza hacia el lado derecho, una y otra vez se volvía a balancear sobre la espalda.', 'Lo intentó cien veces, cerraba los ojos para no tener que ver las patas que pataleaban, y sólo cejaba en su empeño cuando comenzaba a notar en el costado un dolor leve y sordo que antes nunca había sentido.', '«Dios mío!», pensó.', '«¡Qué profesión tan dura he elegido!', 'Un día sí y otro también de viaje.', 'Los esfuerzos profesionales son mucho mayores que en el mismo almacén de la ciudad, y además se me ha endosado este ajetreo de viajar, el estar al tanto de los empalmes de tren, la comida mala y a deshora, una relación humana constantemente cambiante, nunca duradera, que jamás llega a ser cordial.', '¡Que se vaya todo al diablo!»', 'Sintió sobre el vientre un leve picor, con la espalda se deslizó lentamente más cerca de la cabecera de la cama para poder levantar mejor la cabeza; se encontró con que la parte que le picaba estaba totalmente cubierta por unos pequeños puntos blancos, que no sabía a qué se debían, y quiso palpar esa parte con una pata, pero inmediatamente la retiró, porque el roce le producía escalofríos.', 'Se deslizó de nuevo a su posición inicial.', '«Esto de levantarse pronto», pensó, «le hace a uno desvariar.', 'El hombre tiene que dormir.', 'Otros viajantes viven como pachás”.', 'Si yo, por ejemplo, a lo largo de la mañana vuelvo a la pensión para pasar a limpio los pedidos que he conseguido, estos señores todavía están sentados tomando el desayuno.', 'Eso podría intentar yo con mi jefe, en ese momento iría a parar a la calle.', 'Quién sabe, por lo demás, si no sería lo mejor para mí.', 'Si no tuviera que dominarme por mis padres, ya me habría despedido hace tiempo, me habría presentado ante el jefe y le habría dicho mi opinión con toda mi alma.', '¡Se habría caído de la mesa!', 'Sí que es una extraña costumbre la de sentarse sobre la mesa y, desde esa altura, hablar hacia abajo con el empleado que, además, por culpa de la sordera del jefe, tiene que acercarse mucho.', 'Bueno, la esperanza todavía no está perdida del todo; si alguna vez tengo el dinero suficiente para pagar las deudas que mis padres tienen con él – puedo tardar todavía entre cinco y seis años – lo hago con toda seguridad.', 'Entonces habrá llegado el gran momento, ahora, por lo pronto, tengo que levantarme porque el tren sale a las cinco», y miró hacia el despertador que hacía tictac sobre el armario.', '«¡Dios del cielo!», pensó.', 'Eran las seis y media y las manecillas seguían tranquilamente hacia delante, ya había pasado incluso la media, eran ya casi las menos cuarto.', '¿Es que no habría sonado el despertador?»', 'Desde la cama se veía que estaba correctamente puesto a las cuatro, seguro que también había sonado.', 'Sí, pero...', '¿Era posible seguir durmiendo tan tranquilo con ese ruido que hacía temblar los muebles?', 'Bueno, tampoco había dormido tranquilo, pero quizá tanto más profundamente.', '¿Qué iba a hacer ahora?', 'El siguiente tren salía a las siete, para cogerlo tendría que haberse dado una prisa loca, el muestrario todavía no estaba empaquetado, y él mismo no se encontraba especialmente espabilado y ágil; e incluso si consiguiese coger el tren, no se podía evitar una reprimenda del jefe, porque el mozo de los recados habría esperado en el tren de las cinco y ya hacía tiempo que habría dado parte de su descuido.', 'Era un esclavo del jefe, sin agallas ni juicio.', '¿Qué pasaría si dijese que estaba enfermo?', 'Pero esto sería sumamente desagradable y sospechoso, porque Gregorio no había estado enfermo ni una sola vez durante los cinco años de servicio.', 'Seguramente aparecería el jefe con el médico del seguro, haría reproches a sus padres por tener un hijo tan vago y se salvaría de todas las objeciones remitiéndose al médico del seguro, para el que sólo existen hombres totalmente sanos, pero con aversión al trabajo.', '¿Y es que en este caso no tendría un poco de razón?', 'Gregorio, a excepción de una modorra realmente superflua después del largo sueño, se encontraba bastante bien e incluso tenía mucha hambre.']\n", + "deu_sentences = ['Als Gregor Samsa eines Morgens aus unruhigen Träumen erwachte, fand er sich in seinem Bett zu einem ungeheueren Ungeziefer verwandelt.', 'Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig hob, seinen gewölbten, braunen, von bogenförmigen Versteifungen geteilten Bauch, auf dessen Höhe sich die Bettdecke, zum gänzlichen Niedergleiten bereit, kaum noch erhalten konnte.', 'Seine vielen, im Vergleich zu seinem sonstigen Umfang kläglich dünnen Beine flimmerten ihm hilflos vor den Augen. »Was ist mit mir geschehen?« dachte er.', 'Es war kein Traum, sein Zimmer, ein richtiges, nur etwas zu kleines Menschenzimmer, lag ruhig zwischen den vier wohlbekannten Wänden, über dem Tisch, auf dem eine auseinandergepackte Musterkollektion von Tuchwaren ausgebreitet war - Samsa war Reisender -, hing das Bild, das er vor kurzem aus einer illustrierten Zeitschrift ausgeschnitten und in einem hübschen, vergoldeten Rahmen untergebracht hatte.', 'Es stellte eine Dame dar, die, mit einem Pelzhut und einer Pelzboa versehen, aufrecht dasaß und einen schweren Pelzmuff, in dem ihr ganzer Unterarm verschwunden war, dem Beschauer entgegenhob.', 'Gregors Blick richtete sich dann zum Fenster, und das trübe Wetter - man hörte Regentropfen auf das Fensterblech aufschlagen - machte ihn ganz melancholisch. »Wie wäre es, wenn ich noch ein wenig weiterschliefe und alle Narrheiten vergäße,« dachte er, aber das war gänzlich undurchführbar, denn er war gewöhnt, auf der rechten Seite zu schlafen, konnte sich aber in seinem gegenwärtigen Zustand nicht in diese Lage bringen.', 'Mit welcher Kraft er sich auch auf die rechte Seite warf, immer wieder schaukelte er in die Rückenlage [1178] zurück.', 'Er versuchte es wohl hundertmal, schloß die Augen, um die zappelnden Beine nicht sehen zu müssen und ließ erst ab, als er in der Seite einen noch nie gefühlten, leichten, dumpfen Schmerz zu fühlen begann. »Ach Gott,« dachte er, »was für einen anstrengenden Beruf habe ich gewählt!', 'Tag aus, Tag ein auf der Reise.', 'Die geschäftlichen Aufregungen sind viel größer, als im eigentlichen Geschäft zuhause, und außerdem ist mir noch diese Plage des Reisens auferlegt, die Sorgen um die Zuganschlüsse, das unregelmäßige, schlechte Essen, ein immer wechselnder, nie andauernder, nie herzlich werdender menschlicher Verkehr.', 'Der Teufel soll das alles holen!« Er fühlte ein leichtes Jucken oben auf dem Bauch; schob sich auf dem Rücken langsam näher zum Bettpfosten, um den Kopf besser heben zu können; fand die juckende Stelle, die mit lauter kleinen weißen Pünktchen besetzt war, die er nicht zu beurteilen verstand; und wollte mit einem Bein die Stelle betasten, zog es aber gleich zurück, denn bei der Berührung umwehten ihn Kälteschauer.', 'Er glitt wieder in seine frühere Lage zurück. »Dies frühzeitige Aufstehen«, dachte er, »macht einen ganz blödsinnig.', 'Der Mensch muß seinen Schlaf haben.', 'Andere Reisende leben wie Haremsfrauen.', 'Wenn ich zum Beispiel im Laufe des Vormittags ins Gasthaus zurückgehe, um die erlangten Aufträge zu überschreiben, sitzen diese Herren erst beim Frühstück.', 'Das sollte ich bei meinem Chef versuchen; ich würde auf der Stelle hinausfliegen.', 'Wer weiß übrigens, ob das nicht sehr gut für mich wäre.', 'Wenn ich mich nicht wegen meiner Eltern zurückhielte, ich hätte längst gekündigt, ich wäre vor den Chef hin getreten und hätte ihm meine Meinung von Grund des Herzens aus gesagt.', 'Vom Pult hätte er fallen müssen!', 'Es ist auch eine sonderbare Art, sich auf das Pult zu setzen und von der Höhe herab mit dem Angestellten zu reden, der überdies wegen der Schwerhörigkeit des Chefs ganz nahe herantreten muß.', 'Nun, die Hoffnung ist noch nicht gänzlich aufgegeben; habe ich einmal das Geld beisammen, um die Schuld der Eltern an ihn abzuzahlen - es dürfte noch fünf bis sechs Jahre dauern -, mache ich die Sache unbedingt.', 'Dann wird der große Schnitt gemacht.', 'Vorläufig allerdings muß ich aufstehen, denn mein Zug fährt um fünf.« Und er sah zur Weckuhr hinüber, die auf dem Kasten tickte. »Himmlischer Vater,« dachte er.', 'Es war halb sieben Uhr, und die Zeiger gingen ruhig vorwärts, es war sogar halb vorüber, es näherte sich schon dreiviertel.', 'Sollte der Wecker nicht geläutet haben?', 'Man sah vom Bett aus, daß er auf vier Uhr richtig eingestellt war; gewiß hatte er auch geläutet.', 'Ja, aber war es möglich, dieses möbelerschütternde Läuten ruhig zu verschlafen?', 'Nun, ruhig hatte er ja nicht geschlafen, aber wahrscheinlich desto fester.', 'Was aber sollte er jetzt tun?', 'Der nächste Zug ging um sieben Uhr; um den einzuholen, hätte er sich unsinnig beeilen müssen, und die Kollektion war noch nicht eingepackt, und er selbst fühlte sich durchaus nicht besonders frisch und beweglich.', 'Und selbst wenn er den Zug einholte, ein Donnerwetter des Chefs war nicht zu vermeiden, denn der Geschäftsdiener hatte beim Fünfuhrzug gewartet und die Meldung von seiner Versäumnis längst erstattet.', 'Es war eine Kreatur des Chefs, ohne Rückgrat und Verstand.', 'Wie nun, wenn er sich krank meldete?', 'Das war aber äußerst peinlich und verdächtig, denn Gregor war während seines fünfjährigen Dienstes noch nicht einmal krank gewesen.', 'Gewiß würde der Chef mit dem Krankenkassenarzt kommen, würde den Eltern wegen des faulen Sohnes Vorwürfe machen und alle Einwände durch den Hinweis auf den Krankenkassenarzt abschneiden, für den es ja überhaupt nur ganz gesunde, aber arbeitsscheue Menschen gibt.', 'Und hätte er übrigens in diesem Falle so ganz unrecht?', 'Gregor fühlte sich tatsächlich, abgesehen von einer nach dem langen Schlaf wirklich überflüssigen Schläfrigkeit, ganz wohl und hatte sogar einen besonders kräftigen Hunger.']" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Using the cached checkpoint of text_sonar_basic_encoder. Set `force` to `True` to download again.\n", + "Using the cached checkpoint of text_sonar_basic_decoder. Set `force` to `True` to download again.\n", + "Using the cached tokenizer of text_sonar_basic_encoder. Set `force` to `True` to download again.\n" + ] + } + ], + "source": [ + "text_encoder_model = load_sonar_text_encoder_model(\"text_sonar_basic_encoder\", device=device).eval()\n", + "text_decoder_model = load_sonar_text_decoder_model(\"text_sonar_basic_decoder\", device=device).eval()\n", + "text_tokenizer = load_sonar_tokenizer(\"text_sonar_basic_encoder\")\n", + "\n", + "text_embedding_pipeline = TextToEmbeddingModelPipeline(text_encoder_model, text_tokenizer)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Similarity of sentences between texts\n", + "\n", + "We may compute the matrix cosine similarity of each of the sentences in the novel extracts, with each of the sentences present in the translations." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.metrics.pairwise import cosine_similarity\n", + "\n", + "eng_embeddings = text_embedding_pipeline.predict(eng_sentences, source_lang=\"eng_Latn\")\n", + "spa_embeddings = text_embedding_pipeline.predict(spa_sentences, source_lang=\"spa_Latn\")\n", + "deu_embeddings = text_embedding_pipeline.predict(deu_sentences, source_lang=\"deu_Latn\")\n", + "\n", + "eng_spa_cos_sim = cosine_similarity(eng_embeddings, spa_embeddings)\n", + "eng_deu_cos_sim = cosine_similarity(eng_embeddings, deu_embeddings)\n", + "spa_deu_cos_sim = cosine_similarity(spa_embeddings, deu_embeddings)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 0.72619224 0.08622358 0.06269339 ... 0.09275693 0.00628602\n", + " 0.22407693]\n", + " [ 0.11609402 0.46587974 0.05548527 ... 0.07190079 -0.00443545\n", + " 0.06152777]\n", + " [ 0.06567107 0.23206428 0.15597275 ... 0.06240445 0.15716389\n", + " 0.1589457 ]\n", + " ...\n", + " [ 0.04930421 0.13352732 0.09729137 ... 0.72410166 0.10511754\n", + " 0.09066909]\n", + " [ 0.02775934 -0.05379335 0.06206077 ... 0.12726557 0.7053859\n", + " 0.091729 ]\n", + " [ 0.2661551 0.11905408 0.12848586 ... 0.07357833 0.12886351\n", + " 0.67079294]]\n", + "[[ 0.682918 0.1001303 0.08201491 ... 0.10319082 -0.02233397\n", + " 0.19772843]\n", + " [ 0.14484891 0.4911242 0.13205954 ... 0.08779293 0.01014944\n", + " 0.03730423]\n", + " [ 0.08742855 0.2733525 0.17859717 ... 0.07594253 0.17223667\n", + " 0.14438803]\n", + " ...\n", + " [ 0.03904732 0.1515396 0.05158896 ... 0.6848761 0.03531618\n", + " 0.0910763 ]\n", + " [ 0.03424467 -0.04957096 0.0783025 ... 0.12372334 0.5359933\n", + " 0.08312893]\n", + " [ 0.26492468 0.14673 0.12761517 ... 0.04100559 0.10240456\n", + " 0.6001608 ]]\n", + "[[ 0.89043987 0.10906531 0.10327005 ... 0.06216208 0.04756077\n", + " 0.29304183]\n", + " [ 0.08295181 0.7090234 0.15835041 ... 0.15844154 0.01563987\n", + " 0.11715508]\n", + " [ 0.1153705 0.11315811 0.53616226 ... 0.04195565 0.1160554\n", + " 0.13952076]\n", + " ...\n", + " [ 0.11249126 0.14832962 0.06858915 ... 0.8037044 0.08767845\n", + " 0.0535988 ]\n", + " [ 0.0310357 -0.01143041 0.07956342 ... 0.0450792 0.67677176\n", + " 0.08205384]\n", + " [ 0.27339017 0.07933586 0.18632789 ... 0.06827298 0.13198397\n", + " 0.6999304 ]]\n" + ] + } + ], + "source": [ + "print(eng_deu_cos_sim)\n", + "print(eng_spa_cos_sim)\n", + "print(spa_deu_cos_sim)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Finding aligned sentence pairs" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Aligned Sentence Pairs (English -> Spanish):\n", + "English: One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug.\n", + "Spanish: Estaba tumbado sobre su espalda dura, y en forma de caparazón y, al levantar un poco la cabeza, veía un vientre abombado, parduzco, dividido por partes duras en forma de arco, sobre cuya protuberancia apenas podía mantenerse el cobertor, a punto ya de resbalar al suelo.\n", + "----------------------------------------\n", + "English: One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug.\n", + "Spanish: Estaba tumbado sobre su espalda dura, y en forma de caparazón y, al levantar un poco la cabeza, veía un vientre abombado, parduzco, dividido por partes duras en forma de arco, sobre cuya protuberancia apenas podía mantenerse el cobertor, a punto ya de resbalar al suelo.\n", + "----------------------------------------\n", + "Aligned Sentence Pairs (English -> German):\n", + "English: One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug.\n", + "German: Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig hob, seinen gewölbten, braunen, von bogenförmigen Versteifungen geteilten Bauch, auf dessen Höhe sich die Bettdecke, zum gänzlichen Niedergleiten bereit, kaum noch erhalten konnte.\n", + "----------------------------------------\n", + "English: One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug.\n", + "German: Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig hob, seinen gewölbten, braunen, von bogenförmigen Versteifungen geteilten Bauch, auf dessen Höhe sich die Bettdecke, zum gänzlichen Niedergleiten bereit, kaum noch erhalten konnte.\n", + "----------------------------------------\n", + "Aligned Sentence Pairs (Spanish -> German):\n", + "Spanish: Cuando Gregorio Samsa se despertó una mañana después de un sueño intranquilo, se encontró sobre su cama convertido en un monstruoso insecto.\n", + "German: Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig hob, seinen gewölbten, braunen, von bogenförmigen Versteifungen geteilten Bauch, auf dessen Höhe sich die Bettdecke, zum gänzlichen Niedergleiten bereit, kaum noch erhalten konnte.\n", + "----------------------------------------\n", + "Spanish: Cuando Gregorio Samsa se despertó una mañana después de un sueño intranquilo, se encontró sobre su cama convertido en un monstruoso insecto.\n", + "German: Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig hob, seinen gewölbten, braunen, von bogenförmigen Versteifungen geteilten Bauch, auf dessen Höhe sich die Bettdecke, zum gänzlichen Niedergleiten bereit, kaum noch erhalten konnte.\n", + "----------------------------------------\n" + ] + } + ], + "source": [ + "from fastdtw import fastdtw\n", + "\n", + "eng_spa_distance, eng_spa_alignment = fastdtw(eng_embeddings, spa_embeddings, dist=cosine)\n", + "eng_deu_distance, eng_deu_alignment = fastdtw(eng_embeddings, deu_embeddings, dist=cosine)\n", + "spa_deu_distance, spa_deu_alignment = fastdtw(spa_embeddings, deu_embeddings, dist=cosine)\n", + "\n", + "def print_aligned_sentences(alignment, sent1_list, sent2_list, lang1_name, lang2_name):\n", + " print(f\"Aligned Sentence Pairs ({lang1_name} -> {lang2_name}):\")\n", + " for idx1, idx2 in zip(alignment[0], alignment[1]):\n", + " print(f\"{lang1_name}: {sent1_list[idx1]}\")\n", + " print(f\"{lang2_name}: {sent2_list[idx2]}\")\n", + " print(\"-\" * 40)\n", + "\n", + "print_aligned_sentences(eng_spa_alignment, eng_sentences, spa_sentences, \"English\", \"Spanish\")\n", + "print_aligned_sentences(eng_deu_alignment, eng_sentences, deu_sentences, \"English\", \"German\")\n", + "print_aligned_sentences(spa_deu_alignment, spa_sentences, deu_sentences, \"Spanish\", \"German\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Acknowledgements\n", + "\n", + "We use texts from [Bilinguis.com](http://bilinguis.com), which has free books with their translations to different languages, along with some audio books as well." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 38578fe585061a3770ca5d97c798c20fdb1d0656 Mon Sep 17 00:00:00 2001 From: David-OC17 Date: Thu, 3 Oct 2024 18:54:20 -0600 Subject: [PATCH 2/4] Minor style changes --- README.md | 1 + examples/bilingual_document.ipynb | 4 +++- examples/inference_pipelines.ipynb | 6 +++--- examples/sonar_text_demo.ipynb | 2 +- 4 files changed, 8 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 17e0fbe..e76d254 100644 --- a/README.md +++ b/README.md @@ -147,6 +147,7 @@ See more complete demo notebooks : * [sonar text2text similarity and translation](examples/sonar_text_demo.ipynb) * [sonar speech2text and other data pipeline examples](examples/inference_pipelines.ipynb) +* [sonar text2embedding and cosine similarity](examples/bilingual_document.ipynb) ## Supported languages and download links diff --git a/examples/bilingual_document.ipynb b/examples/bilingual_document.ipynb index 2e187f7..7f1679a 100644 --- a/examples/bilingual_document.ipynb +++ b/examples/bilingual_document.ipynb @@ -214,7 +214,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Finding aligned sentence pairs" + "# Finding aligned sentence pairs\n", + "\n", + "We may find which of the sentences correspond to which in the translation by determining the cosine distance and considering equivalent in meaning those sentences that are the closest together in the embedding space." ] }, { diff --git a/examples/inference_pipelines.ipynb b/examples/inference_pipelines.ipynb index 45ac9b2..4efa62b 100644 --- a/examples/inference_pipelines.ipynb +++ b/examples/inference_pipelines.ipynb @@ -27,7 +27,7 @@ "metadata": {}, "outputs": [], "source": [ - "!pip install sonar-space" + "%pip install sonar-space" ] }, { @@ -280,7 +280,7 @@ ], "metadata": { "kernelspec": { - "display_name": "sonar_fairseq2", + "display_name": ".venv", "language": "python", "name": "python3" }, @@ -294,7 +294,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.17" + "version": "3.10.12" }, "orig_nbformat": 4 }, diff --git a/examples/sonar_text_demo.ipynb b/examples/sonar_text_demo.ipynb index f1fd4cd..7af9c92 100644 --- a/examples/sonar_text_demo.ipynb +++ b/examples/sonar_text_demo.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "!pip install sonar-space seaborn pandas" + "%pip install sonar-space seaborn pandas" ] }, { From c210033923acdd53b55e589e1f8cadb8410c513b Mon Sep 17 00:00:00 2001 From: David-OC17 Date: Mon, 7 Oct 2024 08:35:31 -0600 Subject: [PATCH 3/4] Changes from comments PR #43 --- README.md | 2 +- examples/bilingual_document.ipynb | 381 ++++++++++-------- .../{ => data}/eng_flores200_dev_sample.tsv | 0 examples/data/metamor_deu.txt | 1 + examples/data/metamor_eng.txt | 1 + examples/data/metamor_spa.txt | 1 + examples/inference_pipelines.ipynb | 11 +- examples/sonar_text_demo.ipynb | 2 +- 8 files changed, 231 insertions(+), 168 deletions(-) rename examples/{ => data}/eng_flores200_dev_sample.tsv (100%) create mode 100644 examples/data/metamor_deu.txt create mode 100644 examples/data/metamor_eng.txt create mode 100644 examples/data/metamor_spa.txt diff --git a/README.md b/README.md index e76d254..7efaa57 100644 --- a/README.md +++ b/README.md @@ -147,7 +147,7 @@ See more complete demo notebooks : * [sonar text2text similarity and translation](examples/sonar_text_demo.ipynb) * [sonar speech2text and other data pipeline examples](examples/inference_pipelines.ipynb) -* [sonar text2embedding and cosine similarity](examples/bilingual_document.ipynb) +* [sonar bilingual document alignment with sonar text similarity](examples/bilingual_document.ipynb) ## Supported languages and download links diff --git a/examples/bilingual_document.ipynb b/examples/bilingual_document.ipynb index 7f1679a..02dfa2b 100644 --- a/examples/bilingual_document.ipynb +++ b/examples/bilingual_document.ipynb @@ -6,107 +6,73 @@ "source": [ "# Bilingual document translation\n", "\n", - "In this example we show an application of SONAR as a means of translation for study or language exploration.\n", + "In this example we show an application of SONAR as a means of aligning translated documents for study or language exploration.\n", "We present the novel _The Metamorphosis_ by Franz Kafka in its English version, alongside the translation to German and Spanish." ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com\n", - "Requirement already satisfied: sonar-space in /home/david/Documents/MLH_fellowship/SONAR/.venv/lib/python3.10/site-packages (0.2.1)\n", - "Requirement already satisfied: fairseq2>=0.2.0 in /home/david/Documents/MLH_fellowship/SONAR/.venv/lib/python3.10/site-packages (from sonar-space) (0.2.1)\n", - "Requirement already satisfied: numpy>=1.21 in /home/david/Documents/MLH_fellowship/SONAR/.venv/lib/python3.10/site-packages (from sonar-space) (1.26.4)\n", - "Requirement already satisfied: torch in /home/david/Documents/MLH_fellowship/SONAR/.venv/lib/python3.10/site-packages (from sonar-space) (2.2.2)\n", - "Requirement already satisfied: torchaudio in /home/david/Documents/MLH_fellowship/SONAR/.venv/lib/python3.10/site-packages (from sonar-space) (2.2.2)\n", - "Requirement already satisfied: sox in /home/david/Documents/MLH_fellowship/SONAR/.venv/lib/python3.10/site-packages (from sonar-space) (1.5.0)\n", - "Requirement already satisfied: soundfile in 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Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] } ], "source": [ - "%pip install sonar-space\n", - "\n", - "from sonar.inference_pipelines.text import TextToTextModelPipeline, TextToEmbeddingModelPipeline\n", + "%pip install --quiet sonar-space scikit-learn fastdtw pandas matplotlib seaborn sentence-splitter\n", "\n", + "from sonar.inference_pipelines.text import TextToEmbeddingModelPipeline\n", "from sonar.models.sonar_text import (\n", - " load_sonar_text_decoder_model,\n", " load_sonar_text_encoder_model,\n", " load_sonar_tokenizer,\n", ")\n", "\n", + "from sklearn.metrics.pairwise import cosine_similarity\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "from pprint import pprint\n", + "from sentence_splitter import SentenceSplitter\n", + "from scipy.spatial.distance import cosine\n", + "\n", "import torch\n", - "device = torch.device(\"cpu\")" + "device = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"cpu\")" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ - "eng_sentences = ['One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug.', 'He lay on his armour-hard back and saw, as he lifted his head up a little, his brown, arched abdomen divided up into rigid bow-like sections.', 'From this height the blanket, just about ready to slide off completely, could hardly stay in place.', 'His numerous legs, pitifully thin in comparison to the rest of his circumference, flickered helplessly before his eyes.', '\"What\\'s happened to me,\" he thought.', 'It was no dream.', 'His room, a proper room for a human being, only somewhat too small, lay quietly between the four well-known walls.', 'Above the table, on which an unpacked collection of sample cloth goods was spread out (Samsa was a traveling salesman) hung the picture which he had cut out of an illustrated magazine a little while ago and set in a pretty gilt frame.', 'It was a picture of a woman with a fur hat and a fur boa.', 'She sat erect there, lifting up in the direction of the viewer a solid fur muff into which her entire forearm disappeared.', \"Gregor's glance then turned to the window.\", 'The dreary weather (the rain drops were falling audibly down on the metal window ledge) made him quite melancholy.', '\"Why don\\'t I keep sleeping for a little while longer and forget all this foolishness,\" he thought.', \"But this was entirely impractical, for he was used to sleeping on his right side, and in his present state he couldn't get himself into this position.\", 'No matter how hard he threw himself onto his right side, he always rolled again onto his back.', 'He must have tried it a hundred times, closing his eyes, so that he would not have to see the wriggling legs, and gave up only when he began to feel a light, dull pain in his side which he had never felt before.', '\"O God,\" he thought, \"what a demanding job I\\'ve chosen!', 'Day in, day out on the road.', 'The stresses of trade are much greater than the work going on at head office, and, in addition to that, I have to deal with the problems of traveling, the worries about train connections, irregular bad food, temporary and constantly changing human relationships which never come from the heart.', 'To hell with it all!\"', 'He felt a slight itching on the top of his abdomen.', 'He slowly pushed himself on his back closer to the bed post so that he could lift his head more easily, found the itchy part, which was entirely covered with small white spots (he did not know what to make of them), and wanted to feel the place with a leg.', 'But he retracted it immediately, for the contact felt like a cold shower all over him.', 'He slid back again into his earlier position.', '\"This getting up early,\" he thought, \"makes a man quite idiotic.', 'A man must have his sleep.', 'Other traveling salesmen live like harem women.', 'For instance, when I come back to the inn during the course of the morning to write up the necessary orders, these gentlemen are just sitting down to breakfast.', \"If I were to try that with my boss, I'd be thrown out on the spot.\", \"Still, who knows whether that mightn't be really good for me.\", \"If I didn't hold back for my parents' sake, I would've quit ages ago.\", \"I would've gone to the boss and told him just what I think from the bottom of my heart.\", \"He would've fallen right off his desk!\", 'How weird it is to sit up at the desk and talk down to the employee from way up there.', 'The boss has trouble hearing, so the employee has to step up quite close to him.', \"Anyway, I haven't completely given up that hope yet.\", \"Once I've got together the money to pay off the parents' debt to him--that should take another five or six years--I'll do it for sure.\", \"Then I'll make the big break.\", 'In any case, right now I have to get up.', 'My train leaves at five o\\'clock.\"', 'And he looked over at the alarm clock ticking away by the chest of drawers.', '\"Good God,\" he thought.', 'It was half past six, and the hands were going quietly on.', 'It was past the half hour, already nearly quarter to.', 'Could the alarm have failed to ring?', \"One saw from the bed that it was properly set for four o'clock.\", 'Certainly it had rung.', 'Yes, but was it possible to sleep through this noise that made the furniture shake?', \"Now, it's true he'd not slept quietly, but evidently he'd slept all the more deeply.\", 'Still, what should he do now?', \"The next train left at seven o'clock.\", 'To catch that one, he would have to go in a mad rush.', \"The sample collection wasn't packed up yet, and he really didn't feel particularly fresh and active.\", \"And even if he caught the train, there was no avoiding a blow up with the boss, because the firm's errand boy would've waited for the five o'clock train and reported the news of his absence long ago.\", \"He was the boss's minion, without backbone or intelligence.\", 'Well then, what if he reported in sick?', \"But that would be extremely embarrassing and suspicious, because during his five years' service Gregor hadn't been sick even once.\", \"The boss would certainly come with the doctor from the health insurance company and would reproach his parents for their lazy son and cut short all objections with the insurance doctor's comments; for him everyone was completely healthy but really lazy about work.\", 'And besides, would the doctor in this case be totally wrong?', 'Apart from a really excessive drowsiness after the long sleep, Gregor in fact felt quite well and even had a really strong appetite.']\n", - "spa_sentences = ['Cuando Gregorio Samsa se despertó una mañana después de un sueño intranquilo, se encontró sobre su cama convertido en un monstruoso insecto.', 'Estaba tumbado sobre su espalda dura, y en forma de caparazón y, al levantar un poco la cabeza, veía un vientre abombado, parduzco, dividido por partes duras en forma de arco, sobre cuya protuberancia apenas podía mantenerse el cobertor, a punto ya de resbalar al suelo.', 'Sus muchas patas, ridículamente pequeñas en comparación con el resto de su tamaño, le vibraban desamparadas ante los ojos.', '«¿Qué me ha ocurrido?», pensó.', 'No era un sueño.', 'Su habitación, una auténtica habitación humana, si bien algo pequeña, permanecía tranquila entre las cuatro paredes harto conocidas.', 'Por encima de la mesa, sobre la que se encontraba extendido un muestrario de paños desempaquetados – Samsa era viajante de comercio –, estaba colgado aquel cuadro, que hacía poco había recortado de una revista y había colocado en un bonito marco dorado.', 'Representaba a una dama ataviada con un sombrero y una boa” de piel, que estaba allí, sentada muy erguida y levantaba hacia el observador un pesado manguito de piel, en el cual había desaparecido su antebrazo.', 'La mirada de Gregorio se dirigió después hacia la ventana, y el tiempo lluvioso se oían caer gotas de lluvia sobre la chapa del alfeizar de la ventana – le ponía muy melancólico. « ¿Qué pasaría – pensó – si durmiese un poco más y olvidase todas las chifladuras?»', 'Pero esto era algo absolutamente imposible, porque estaba acostumbrado a dormir del lado derecho, pero en su estado actual no podía ponerse de ese lado.', 'Aunque se lanzase con mucha fuerza hacia el lado derecho, una y otra vez se volvía a balancear sobre la espalda.', 'Lo intentó cien veces, cerraba los ojos para no tener que ver las patas que pataleaban, y sólo cejaba en su empeño cuando comenzaba a notar en el costado un dolor leve y sordo que antes nunca había sentido.', '«Dios mío!», pensó.', '«¡Qué profesión tan dura he elegido!', 'Un día sí y otro también de viaje.', 'Los esfuerzos profesionales son mucho mayores que en el mismo almacén de la ciudad, y además se me ha endosado este ajetreo de viajar, el estar al tanto de los empalmes de tren, la comida mala y a deshora, una relación humana constantemente cambiante, nunca duradera, que jamás llega a ser cordial.', '¡Que se vaya todo al diablo!»', 'Sintió sobre el vientre un leve picor, con la espalda se deslizó lentamente más cerca de la cabecera de la cama para poder levantar mejor la cabeza; se encontró con que la parte que le picaba estaba totalmente cubierta por unos pequeños puntos blancos, que no sabía a qué se debían, y quiso palpar esa parte con una pata, pero inmediatamente la retiró, porque el roce le producía escalofríos.', 'Se deslizó de nuevo a su posición inicial.', '«Esto de levantarse pronto», pensó, «le hace a uno desvariar.', 'El hombre tiene que dormir.', 'Otros viajantes viven como pachás”.', 'Si yo, por ejemplo, a lo largo de la mañana vuelvo a la pensión para pasar a limpio los pedidos que he conseguido, estos señores todavía están sentados tomando el desayuno.', 'Eso podría intentar yo con mi jefe, en ese momento iría a parar a la calle.', 'Quién sabe, por lo demás, si no sería lo mejor para mí.', 'Si no tuviera que dominarme por mis padres, ya me habría despedido hace tiempo, me habría presentado ante el jefe y le habría dicho mi opinión con toda mi alma.', '¡Se habría caído de la mesa!', 'Sí que es una extraña costumbre la de sentarse sobre la mesa y, desde esa altura, hablar hacia abajo con el empleado que, además, por culpa de la sordera del jefe, tiene que acercarse mucho.', 'Bueno, la esperanza todavía no está perdida del todo; si alguna vez tengo el dinero suficiente para pagar las deudas que mis padres tienen con él – puedo tardar todavía entre cinco y seis años – lo hago con toda seguridad.', 'Entonces habrá llegado el gran momento, ahora, por lo pronto, tengo que levantarme porque el tren sale a las cinco», y miró hacia el despertador que hacía tictac sobre el armario.', '«¡Dios del cielo!», pensó.', 'Eran las seis y media y las manecillas seguían tranquilamente hacia delante, ya había pasado incluso la media, eran ya casi las menos cuarto.', '¿Es que no habría sonado el despertador?»', 'Desde la cama se veía que estaba correctamente puesto a las cuatro, seguro que también había sonado.', 'Sí, pero...', '¿Era posible seguir durmiendo tan tranquilo con ese ruido que hacía temblar los muebles?', 'Bueno, tampoco había dormido tranquilo, pero quizá tanto más profundamente.', '¿Qué iba a hacer ahora?', 'El siguiente tren salía a las siete, para cogerlo tendría que haberse dado una prisa loca, el muestrario todavía no estaba empaquetado, y él mismo no se encontraba especialmente espabilado y ágil; e incluso si consiguiese coger el tren, no se podía evitar una reprimenda del jefe, porque el mozo de los recados habría esperado en el tren de las cinco y ya hacía tiempo que habría dado parte de su descuido.', 'Era un esclavo del jefe, sin agallas ni juicio.', '¿Qué pasaría si dijese que estaba enfermo?', 'Pero esto sería sumamente desagradable y sospechoso, porque Gregorio no había estado enfermo ni una sola vez durante los cinco años de servicio.', 'Seguramente aparecería el jefe con el médico del seguro, haría reproches a sus padres por tener un hijo tan vago y se salvaría de todas las objeciones remitiéndose al médico del seguro, para el que sólo existen hombres totalmente sanos, pero con aversión al trabajo.', '¿Y es que en este caso no tendría un poco de razón?', 'Gregorio, a excepción de una modorra realmente superflua después del largo sueño, se encontraba bastante bien e incluso tenía mucha hambre.']\n", - "deu_sentences = ['Als Gregor Samsa eines Morgens aus unruhigen Träumen erwachte, fand er sich in seinem Bett zu einem ungeheueren Ungeziefer verwandelt.', 'Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig hob, seinen gewölbten, braunen, von bogenförmigen Versteifungen geteilten Bauch, auf dessen Höhe sich die Bettdecke, zum gänzlichen Niedergleiten bereit, kaum noch erhalten konnte.', 'Seine vielen, im Vergleich zu seinem sonstigen Umfang kläglich dünnen Beine flimmerten ihm hilflos vor den Augen. »Was ist mit mir geschehen?« dachte er.', 'Es war kein Traum, sein Zimmer, ein richtiges, nur etwas zu kleines Menschenzimmer, lag ruhig zwischen den vier wohlbekannten Wänden, über dem Tisch, auf dem eine auseinandergepackte Musterkollektion von Tuchwaren ausgebreitet war - Samsa war Reisender -, hing das Bild, das er vor kurzem aus einer illustrierten Zeitschrift ausgeschnitten und in einem hübschen, vergoldeten Rahmen untergebracht hatte.', 'Es stellte eine Dame dar, die, mit einem Pelzhut und einer Pelzboa versehen, aufrecht dasaß und einen schweren Pelzmuff, in dem ihr ganzer Unterarm verschwunden war, dem Beschauer entgegenhob.', 'Gregors Blick richtete sich dann zum Fenster, und das trübe Wetter - man hörte Regentropfen auf das Fensterblech aufschlagen - machte ihn ganz melancholisch. »Wie wäre es, wenn ich noch ein wenig weiterschliefe und alle Narrheiten vergäße,« dachte er, aber das war gänzlich undurchführbar, denn er war gewöhnt, auf der rechten Seite zu schlafen, konnte sich aber in seinem gegenwärtigen Zustand nicht in diese Lage bringen.', 'Mit welcher Kraft er sich auch auf die rechte Seite warf, immer wieder schaukelte er in die Rückenlage [1178] zurück.', 'Er versuchte es wohl hundertmal, schloß die Augen, um die zappelnden Beine nicht sehen zu müssen und ließ erst ab, als er in der Seite einen noch nie gefühlten, leichten, dumpfen Schmerz zu fühlen begann. »Ach Gott,« dachte er, »was für einen anstrengenden Beruf habe ich gewählt!', 'Tag aus, Tag ein auf der Reise.', 'Die geschäftlichen Aufregungen sind viel größer, als im eigentlichen Geschäft zuhause, und außerdem ist mir noch diese Plage des Reisens auferlegt, die Sorgen um die Zuganschlüsse, das unregelmäßige, schlechte Essen, ein immer wechselnder, nie andauernder, nie herzlich werdender menschlicher Verkehr.', 'Der Teufel soll das alles holen!« Er fühlte ein leichtes Jucken oben auf dem Bauch; schob sich auf dem Rücken langsam näher zum Bettpfosten, um den Kopf besser heben zu können; fand die juckende Stelle, die mit lauter kleinen weißen Pünktchen besetzt war, die er nicht zu beurteilen verstand; und wollte mit einem Bein die Stelle betasten, zog es aber gleich zurück, denn bei der Berührung umwehten ihn Kälteschauer.', 'Er glitt wieder in seine frühere Lage zurück. »Dies frühzeitige Aufstehen«, dachte er, »macht einen ganz blödsinnig.', 'Der Mensch muß seinen Schlaf haben.', 'Andere Reisende leben wie Haremsfrauen.', 'Wenn ich zum Beispiel im Laufe des Vormittags ins Gasthaus zurückgehe, um die erlangten Aufträge zu überschreiben, sitzen diese Herren erst beim Frühstück.', 'Das sollte ich bei meinem Chef versuchen; ich würde auf der Stelle hinausfliegen.', 'Wer weiß übrigens, ob das nicht sehr gut für mich wäre.', 'Wenn ich mich nicht wegen meiner Eltern zurückhielte, ich hätte längst gekündigt, ich wäre vor den Chef hin getreten und hätte ihm meine Meinung von Grund des Herzens aus gesagt.', 'Vom Pult hätte er fallen müssen!', 'Es ist auch eine sonderbare Art, sich auf das Pult zu setzen und von der Höhe herab mit dem Angestellten zu reden, der überdies wegen der Schwerhörigkeit des Chefs ganz nahe herantreten muß.', 'Nun, die Hoffnung ist noch nicht gänzlich aufgegeben; habe ich einmal das Geld beisammen, um die Schuld der Eltern an ihn abzuzahlen - es dürfte noch fünf bis sechs Jahre dauern -, mache ich die Sache unbedingt.', 'Dann wird der große Schnitt gemacht.', 'Vorläufig allerdings muß ich aufstehen, denn mein Zug fährt um fünf.« Und er sah zur Weckuhr hinüber, die auf dem Kasten tickte. »Himmlischer Vater,« dachte er.', 'Es war halb sieben Uhr, und die Zeiger gingen ruhig vorwärts, es war sogar halb vorüber, es näherte sich schon dreiviertel.', 'Sollte der Wecker nicht geläutet haben?', 'Man sah vom Bett aus, daß er auf vier Uhr richtig eingestellt war; gewiß hatte er auch geläutet.', 'Ja, aber war es möglich, dieses möbelerschütternde Läuten ruhig zu verschlafen?', 'Nun, ruhig hatte er ja nicht geschlafen, aber wahrscheinlich desto fester.', 'Was aber sollte er jetzt tun?', 'Der nächste Zug ging um sieben Uhr; um den einzuholen, hätte er sich unsinnig beeilen müssen, und die Kollektion war noch nicht eingepackt, und er selbst fühlte sich durchaus nicht besonders frisch und beweglich.', 'Und selbst wenn er den Zug einholte, ein Donnerwetter des Chefs war nicht zu vermeiden, denn der Geschäftsdiener hatte beim Fünfuhrzug gewartet und die Meldung von seiner Versäumnis längst erstattet.', 'Es war eine Kreatur des Chefs, ohne Rückgrat und Verstand.', 'Wie nun, wenn er sich krank meldete?', 'Das war aber äußerst peinlich und verdächtig, denn Gregor war während seines fünfjährigen Dienstes noch nicht einmal krank gewesen.', 'Gewiß würde der Chef mit dem Krankenkassenarzt kommen, würde den Eltern wegen des faulen Sohnes Vorwürfe machen und alle Einwände durch den Hinweis auf den Krankenkassenarzt abschneiden, für den es ja überhaupt nur ganz gesunde, aber arbeitsscheue Menschen gibt.', 'Und hätte er übrigens in diesem Falle so ganz unrecht?', 'Gregor fühlte sich tatsächlich, abgesehen von einer nach dem langen Schlaf wirklich überflüssigen Schläfrigkeit, ganz wohl und hatte sogar einen besonders kräftigen Hunger.']" + "eng_splitter = SentenceSplitter(language='en')\n", + "spa_splitter = SentenceSplitter(language='es')\n", + "deu_splitter = SentenceSplitter(language='de')\n", + "\n", + "eng_text = ''\n", + "spa_text = ''\n", + "deu_text = ''\n", + "\n", + "with open('./data/metamor_eng.txt', 'r') as file:\n", + " eng_text = file.read()\n", + "with open('./data/metamor_spa.txt', 'r') as file:\n", + " spa_text = file.read()\n", + "with open('./data/metamor_deu.txt', 'r') as file:\n", + " deu_text = file.read()\n", + "\n", + "eng_sentences = eng_splitter.split(text=eng_text)\n", + "spa_sentences = spa_splitter.split(text=spa_text)\n", + "deu_sentences = deu_splitter.split(text=deu_text)\n" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -114,14 +80,12 @@ "output_type": "stream", "text": [ "Using the cached checkpoint of text_sonar_basic_encoder. Set `force` to `True` to download again.\n", - "Using the cached checkpoint of text_sonar_basic_decoder. Set `force` to `True` to download again.\n", "Using the cached tokenizer of text_sonar_basic_encoder. Set `force` to `True` to download again.\n" ] } ], "source": [ "text_encoder_model = load_sonar_text_encoder_model(\"text_sonar_basic_encoder\", device=device).eval()\n", - "text_decoder_model = load_sonar_text_decoder_model(\"text_sonar_basic_decoder\", device=device).eval()\n", "text_tokenizer = load_sonar_tokenizer(\"text_sonar_basic_encoder\")\n", "\n", "text_embedding_pipeline = TextToEmbeddingModelPipeline(text_encoder_model, text_tokenizer)" @@ -131,19 +95,17 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Similarity of sentences between texts\n", + "## Similarity of sentences between texts\n", "\n", "We may compute the matrix cosine similarity of each of the sentences in the novel extracts, with each of the sentences present in the translations." ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ - "from sklearn.metrics.pairwise import cosine_similarity\n", - "\n", "eng_embeddings = text_embedding_pipeline.predict(eng_sentences, source_lang=\"eng_Latn\")\n", "spa_embeddings = text_embedding_pipeline.predict(spa_sentences, source_lang=\"spa_Latn\")\n", "deu_embeddings = text_embedding_pipeline.predict(deu_sentences, source_lang=\"deu_Latn\")\n", @@ -155,120 +117,225 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 33, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[ 0.72619224 0.08622358 0.06269339 ... 0.09275693 0.00628602\n", - " 0.22407693]\n", - " [ 0.11609402 0.46587974 0.05548527 ... 0.07190079 -0.00443545\n", - " 0.06152777]\n", - " [ 0.06567107 0.23206428 0.15597275 ... 0.06240445 0.15716389\n", - " 0.1589457 ]\n", - " ...\n", - " [ 0.04930421 0.13352732 0.09729137 ... 0.72410166 0.10511754\n", - " 0.09066909]\n", - " [ 0.02775934 -0.05379335 0.06206077 ... 0.12726557 0.7053859\n", - " 0.091729 ]\n", - " [ 0.2661551 0.11905408 0.12848586 ... 0.07357833 0.12886351\n", - " 0.67079294]]\n", - "[[ 0.682918 0.1001303 0.08201491 ... 0.10319082 -0.02233397\n", - " 0.19772843]\n", - " [ 0.14484891 0.4911242 0.13205954 ... 0.08779293 0.01014944\n", - " 0.03730423]\n", - " [ 0.08742855 0.2733525 0.17859717 ... 0.07594253 0.17223667\n", - " 0.14438803]\n", - " ...\n", - " [ 0.03904732 0.1515396 0.05158896 ... 0.6848761 0.03531618\n", - " 0.0910763 ]\n", - " [ 0.03424467 -0.04957096 0.0783025 ... 0.12372334 0.5359933\n", - " 0.08312893]\n", - " [ 0.26492468 0.14673 0.12761517 ... 0.04100559 0.10240456\n", - " 0.6001608 ]]\n", - "[[ 0.89043987 0.10906531 0.10327005 ... 0.06216208 0.04756077\n", - " 0.29304183]\n", - " [ 0.08295181 0.7090234 0.15835041 ... 0.15844154 0.01563987\n", - " 0.11715508]\n", - " [ 0.1153705 0.11315811 0.53616226 ... 0.04195565 0.1160554\n", - " 0.13952076]\n", - " ...\n", - " [ 0.11249126 0.14832962 0.06858915 ... 0.8037044 0.08767845\n", - " 0.0535988 ]\n", - " [ 0.0310357 -0.01143041 0.07956342 ... 0.0450792 0.67677176\n", - " 0.08205384]\n", - " [ 0.27339017 0.07933586 0.18632789 ... 0.06827298 0.13198397\n", - " 0.6999304 ]]\n" - ] + "data": { + "image/png": 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BKSkpbd5I3lF33nknHB0dsWbNmnZvOg8ICICbmxsOHDjQ7H/79++Hg4OD6pd/X19fPPzww3j44YdRVVWFMWPGYNGiRZre09bq4enpicbGRowbN+6y1vVLzs7OiIiIwKFDh1BaWoqgoKBOW7dWubm5iIqKwmuvvaaaX1ZWBn9/f/F623rK1uDBgzFs2DC8+eab6Nu3L06cOIGXXnpJXBYRkQR7PohIpXfv3hg8eDDeeOMNVc/Ef/7zH9Gv5+fOnWv2q/D1118PAC0OvWpLcHBws6FlAFBTU4Pt27e3GHOxB+HSoURvvPGGaihSbm4uTp8+bfvCf/EX7l/W3Wq14sUXX9RU57Y0NjY2G2ITGBiI3r17a943renXrx9mzpyJzZs3t/hFs6mpCc8//7ztkasTJkzAv//9b9XwszNnzuCtt97C6NGjbcO4fv75Z9V6PDw8EBYW1in1dnR0xN133433338f3333XbP/nz17ts34Q4cO4cSJE83ml5WVYfv27fDx8Wk2RK67OTo6Njsv3nvvPZw6deqy1uvu7t7isK2LHnjgAWzevBkvvPAC/Pz8OqWBS0SkBXs+iH4lPvroI+zfv7/Z/Jtvvll183BHpKam4q677sItt9yChx9+GOfOncO//vUvDB48uNlQqfbk5ORgxYoVmDJlCgYOHIjKykq8+uqrMBgMiImJ0bSu1tTU1ODmm2/GTTfdhOjoaPTr1w9lZWX44IMP8OWXXyIuLg7Dhg1Txfj6+mL06NF4+OGHcebMGbzwwgsICwvDzJkzAVwYrjRw4EA89dRTOHXqFAwGA95//33NY/vbUllZib59+2Lq1KkYOnQoPDw88Mknn2Dnzp14/vnnO62c559/HkeOHMHjjz+OdevW4Xe/+x18fHxw4sQJvPfee9i/fz+mTZsGAFi6dCm2bNmC0aNH49FHH4WTkxNWrVoFi8WiyisyaNAgjB07FsOHD4evry927dple2RwZ/jb3/6Gzz//HCNHjsTMmTMxaNAgmM1m7N69G5988gnMZnOrsQUFBbjvvvtw55134tZbb4Wvry9OnTqFnJwcFBUV4YUXXuj2RJiX+t3vfofnnnsODz/8MG6++Wbs27cPb775puZz9VLDhw/H2rVrMXfuXERGRsLDwwOTJ0+2/f++++7D//zP/2D9+vV45JFH2nyENRFRV2Djg+hX4q9//WuL87OysjR/oZk8eTLefvttLFq0CAsWLEB4eDiys7ORk5OD77//XtO6brvtNuzYsQPvvPMOzpw5Ay8vL4wYMQJvvvnmZd9Ee5G3tzdeffVVbNy4EVlZWSguLoajoyOMRiPS09Px+OOPN4t55plnsHfvXqSlpaGyshJ33HEHVqxYATc3NwAXhuh8+OGHePzxx5GWlga9Xo8pU6Zgzpw5GDp0aKfU283NDY8++ig2b96MdevWoampCWFhYVixYkWbuUEk5Xz00Ue293DJkiWoqalB7969cfvtt+PNN9+05XC57rrr8OWXXyIpKQlpaWloamrCyJEjsWbNGtuTnQDg8ccfR15eHjZv3gyLxYL+/ftj6dKlePrppzulzr169cKOHTvw3HPPYd26dVixYgX8/Pxw3XXX4e9//3ubsWPGjMGSJUvw0UcfYfny5Th79iw8PT0xbNgw/P3vf8fdd9/dKXW8HM888wyqq6vx1ltvYe3atbjhhhuwceNGLFiw4LLW++ijj2LPnj3IyspCRkYG+vfvr2p89OrVCxMmTMCmTZs6nPuFiKgzKdauusuUiH51rr/+egQEBHTJfQ/d5YsvvkBUVBTee+89TJ061d7VIep2U6ZMwb59+y7rHi4iIine80FEzdTX1zd7GtAXX3yBgoICjB071j6VIqLLdvr0aWzcuJG9HkRkNxx2RUTNnDp1CuPGjcP999+P3r17Y//+/Vi5ciWCgoKaJdIjoitfYWEhtm7ditWrV8PZ2RmJiYn2rhIR/Uax8UFEzfj4+GD48OFYvXo1zp49C3d3d0yaNAl/+9vf4OfnZ+/qEZFG//nPf/Dwww8jJCQEOTk5dn3MMBH9tvGeDyIiIiIi6ha854OIiIiIiLoFGx9ERERERNQtOr3xYTKZoChKsyk6Orqzi2rm/PnzeOyxx+Dn5wcPDw/cfffdOHPmTJeXS0RERERE7ev0ez5MJhPOnDmDrKws1XydTgcfH5/OLKqZRx55BBs3bkR2dja8vLwwZ84cODg4YOvWrR1ex8D73haV/VGmpyjOxUG2+/VO2uN+Pi9razooojBUN8gCA/VNmmPK6mRluQqTHPvqtNcRAL47J3vGQ6hno+YYD2HiYukloaZR9h54u7hpjjldUysqy9NZtm3HqmTnTh832XHio9O+T8yWGlFZekfZPpFeFyzC40TC3UlWlqODXhR3qvq8KE5yXJbUyo5Jb+G1S/r5YfR20RxzpMIiKkt6TA7wkF2XS8/Xi+L89dovzhX1srLOCI8Tg/Ba2dfdS3PMp0VVorImh9wpiusOriHT7VZ27QnZ99ju1CXDrnQ6HYKCglTTLxseiqJg9erVmDJlCtzc3BAeHo68vDzVOvLy8hAeHg69Xo+oqCjk5ORAURSUlZW1WGZ5eTlee+01LF++HLfffjuGDx+OrKwsbNu2Df/973+7YjOJiIiIiEgDu93zsXjxYsTHx2Pv3r2IiYlBQkICzGYzgAvPI586dSri4uJQUFCAxMREJCcnt7m+b775BvX19Rg3bpxt3jXXXIOQkBBs3769S7eFiIiIiAgAFMXBblNP0CW13LBhAzw8PFRTamqqahmTyYTp06cjLCwMqampqKqqwo4dOwAAq1atgtFoRHp6OoxGI6ZNmwaTydRmmcXFxXBxcYG3t7dqfq9evVBcXNyZm0dERERERAJdkmQwKioKmZmZqnm+vr6q1xEREba/3d3dYTAYUFJSAgA4cOAAIiMjVcuPGDGi0+tpsVhgsajHllob66E4CgfLExERERFRq7qk8eHu7o6wsLA2l3F2Vn/BVxQFTU2yG+EAICgoCHV1dSgrK1P1fpw5c6bVTK5paWlYvHixap734N/Dd8hUcT2IiIiI6LdLYSaLNl2Re8doNGLXrl2qeTt37mwzZvjw4XB2dsann35qm3fgwAGcOHECo0aNajEmKSkJ5eXlqsln0F2XvwFERERERNRMl/R8WCyWZvdZODk5wd/fv0PxiYmJWL58OebPn48ZM2Zgz549yM7OBnChh6QlXl5emDFjBubOnQtfX18YDAb86U9/wqhRo3DTTTe1GKPT6aDT6VTzOOSKiIiIiKR6yo3f9tIleyc/Px/BwcGqafTo0R2ODw0NRW5uLtatW4eIiAhkZmbannZ1aWPhlzIyMvC73/0Od999N8aMGYOgoCCsW7fusreHiIiIiIguX6f3fGRnZ9t6KVrTUhKzS/N3xMbGIjY21vY6JSUFffv2hV7fevInvV6Pl19+GS+//LKmOhMRERERUdfrkmFXnWHFihWIjIyEn58ftm7divT0dMyZM6fLy137T4Mo7vfrZXFrJpeL4kK0J41FP4/We43a8umpBlHcMD9ZXLEgI6ufMGtvZb0sJW5xrSw1eqCrrJ6SzL3Vst0PT2fh0MNGWYEOivbyvj4rKyvEXXumeADw08veN09n2fHVZNW+fZ7dPGLU22WgKO5UzVHNMS38XtUhpbKE4+jtLrjAAlAgK1AnzDIv4auTfeybLdIHwmg/B7xcZPujoUl2vimKbJ/4t/5baJtO12g/v4PdZCe4pzBTudkiu8bWN9Vojrk5UJa9/UrGYVdtu2IbH4cOHcLSpUthNpsREhKCefPmISkpyd7VIiIiIiIioSu28ZGRkYGMjAx7V4OIiIiIqMNaezgSXcB+ISIiIiIi6hZXbM8HEREREVHPw9/228K9Q0RERERE3YKNDyIiIiIi6hYcdkVERERE1En4qN22ce8QEREREVG3YM8HEREREVEnYc9H2zq98WEymZCTk9Ns/sSJE5Gfn9/ZxdmYzWYsXLgQmzdvxokTJxAQEIC4uDgsWbIEXl5eHV6PrzBT9v3DZJltzRbZAeqv156pubLeIior1FMUhlLhtlkESaibrLJnahdWyjKVNwrL89HJssY2CpLUugivfTUNsjqeb5DtkzNN5ZpjQtxl79tnp2WZq3/XT3buHKkUheFqL+3bd6xC9oa7CLNrn6ktFMUFu2n/2HnrsOz9Huony5ysd9J+TAKAg/DZ/hV12uNKzsvebw9nwQUWwOafdKI4X12t5hjp56KjIjuWD5bLzm+98NyRHCUNTXWisn4W7ku97JTDnp+1H1/uzrLC/IQZ5sn+uqTnIzo6GllZWap5Op3swtVRRUVFKCoqwrJlyzBo0CAcP34cs2fPRlFREXJzc7u0bCIiIiIial+X9AvpdDoEBQWpJh8fH9v/FUXB6tWrMWXKFLi5uSE8PBx5eXmqdeTl5SE8PBx6vR5RUVHIycmBoigoKytrsczBgwfj/fffx+TJkzFw4EDcfvvtSElJwYcffogG4S+5RERERERaKHCw29QT2K2WixcvRnx8PPbu3YuYmBgkJCTAbDYDAAoLCzF16lTExcWhoKAAiYmJSE5O1lxGeXk5DAYDnJx4awsRERERkb11SeNjw4YN8PDwUE2pqamqZUwmE6ZPn46wsDCkpqaiqqoKO3bsAACsWrUKRqMR6enpMBqNmDZtGkwmk6Y6lJaWYsmSJZg1a1ZnbRYRERERUZsUxcFuU0/QJV0CUVFRyMzMVM3z9fVVvY6IiLD97e7uDoPBgJKSEgDAgQMHEBkZqVp+xIgRHS6/oqICkyZNwqBBg7Bo0aJWl7NYLLBY1DeaWerqodM5d7gsIiIiIiLqmC5pIrm7uyMsLEw1Xdr4cHZWf8FXFAVNTbInTf1SZWUloqOj4enpifXr1zcr55fS0tLg5eWlmlY+/95l14GIiIiIfpvY89G2K7KWRqMRu3btUs3buXNnu3EVFRWYMGECXFxckJeXB72+7eewJSUloby8XDXNnnfPZdWdiIiIiIha1iXDriwWC4qLi9UFOTnB39+/Q/GJiYlYvnw55s+fjxkzZmDPnj3Izs4GcKGHpCUXGx41NTVYs2YNKioqUFFRAQAICAiAo2Pz50jrdLpmjwAureSQKyIiIiKirtAljY/8/HwEBwer5hmNRuzfv79D8aGhocjNzcW8efPw4osvYtSoUUhOTsYjjzzSar6Q3bt34+uvvwYAhIWFqf5XWFiIAQMGaN8QIiIiIiINesrwJ3vp9MZHdna2rZeiNVZr86ygl+bviI2NRWxsrO11SkoK+vbt2+pQqrFjx7a4XiIiIiIiujJcsQkwVqxYgcjISPj5+WHr1q1IT0/HnDlz7F2tVk3oUyeKuze+SBT373XB7S90CV+d7Ib+z4pcRHFRwfWiuPK6lofWtaW2UVQUrvaSBf63RDY8r6hG9mtIkKv29y5QEAMAsGrf/xfKk+2TRqul/YUuUSU8lm/tJTtPA/Sy8nx0snOnvrFGc8xVBtnlvMkqOwfMFtlx0mTVfl2I6i2ro5eL7AcpB0UWVyU8dxoEcX7CcyDIreXRA+2ZMkD7eQoAHs7a92Vjk2z/Nwh/f9Q5yvalk+ztFtXT0UF2fusdZeeOp7Ns467x1p7UucB8xX4VFVMgPDh+I67Yd/zQoUNYunQpzGYzQkJCMG/ePCQlJdm7WkREREREJHTFNj4yMjKQkZFh72oQEREREVEnuWIbH0REREREPQ1vOG8b9w4REREREXUL9nwQEREREXUS9ny0jXuHiIiIiIi6BXs+iIiIiIg6CXs+2sa9Q0RERERE3YKNDyIiIiIi6hadPuzKZDIhJyen2fyJEyciPz+/s4trkdVqRUxMDPLz87F+/XrExcV1OFbvKCvzOp9AUdwH78tSssb97ifNMaPTrhGVlR5ZIYrTO3mL4vz07ppjiqplmeIdhc3vW4Nk2dt7CbOAD12o/Th5ON5NVNa43rJMxqMC+4niknad1hyzZLi3qKwfzp0VxW04qRfFSTMgm67Wfnz56WSZjHf/LDsmPy2SZcp+9NpqzTEfnpCV9dggWYb56oZyUZyzg+x6fsc/tR9f3z59XlTWtjPaM1ADQG/Z5QTP7DJojnl2aKWorMIK2Qd48lbtdQSAHfEBorj/lhzWHLNqv+wcePK6GlGcl0uoKO7lH09pjrkrRPaZc2Xjb/tt6ZJ7PqKjo5GVlaWap9PJThyJF154AYrC1PZERERERFeSLmma6XQ6BAUFqSYfHx/b/xVFwerVqzFlyhS4ubkhPDwceXl5qnXk5eUhPDwcer0eUVFRyMnJgaIoKCsra7PsPXv24Pnnn8frr7/eFZtGRERERNQqRXGw29QT2K2WixcvRnx8PPbu3YuYmBgkJCTAbDYDAAoLCzF16lTExcWhoKAAiYmJSE5ObnedNTU1uO+++/Dyyy8jKCioqzeBiIiIiIg06JLGx4YNG+Dh4aGaUlNTVcuYTCZMnz4dYWFhSE1NRVVVFXbs2AEAWLVqFYxGI9LT02E0GjFt2jSYTKZ2y/3zn/+Mm2++GXfddVeH6mmxWFBRUaGaLBbZWH4iIiIiImpbl9zzERUVhczMTNU8X19f1euIiAjb3+7u7jAYDCgpKQEAHDhwAJGRkarlR4wY0WaZeXl5+Oyzz/Dtt992uJ5paWlYvHixat7cZ6ZhXvJ9HV4HEREREdFFPWX4k710SePD3d0dYWFhbS7j7Kx+woqiKGhqahKX+dlnn+HIkSPw9vZWzb/77rtx66234osvvmgWk5SUhLlz56rm/dz4ibgORERERETUuisyw7nRaMSmTZtU83bu3NlmzIIFC/DHP/5RNW/IkCHIyMjA5MmTW4zR6XTNnsJVVSN77CQRERERkcJH7bapSxofFosFxcXF6oKcnODv79+h+MTERCxfvhzz58/HjBkzsGfPHmRnZwNAq4/QvfhUrUuFhIQgNFT2vGoiIiIiIuo8XdI0y8/PR3BwsGoaPXp0h+NDQ0ORm5uLdevWISIiApmZmbanXXVnvhAiIiIiIi34qN22dXrPR3Z2tq2XojVWa/MssJfm74iNjUVsbKztdUpKCvr27Qu9vuOZYFsqpz0VdbLkhF4utaI4D2dZRtyYZVdrjlkVv0pU1lN7E0RxfdxkmVUdFe1D3wJcZRlqd5dWieJ6u8nuTyo9XyeKi7tLe9Z3R8jq+Lkwc/WN/tozVwOAm5P2c0DapV3bKDu/7xsoO7+Tv/EWxZXUas9e3c9dlt05QC/LeH2Nl+zJgJ6Ca94PZbJM5c4OHqI4BbIM55JtA4B7J2h/7yyyhPZYfVD7tQQAHr1Gdq08VKb9er6/XPbVJP8n2bXL2Eu2M+ubZPtkn1n79ukdZcdWufA7TaCrbJ+Untd+ba5pYFLo35or8p4PAFixYgUiIyPh5+eHrVu3Ij09HXPmzLF3tYiIiIiISOiKbXwcOnQIS5cuhdlsRkhICObNm4ekpCR7V4uIiIiIqFWt3Z9MF1yxjY+MjAxkZGTYuxpERERERNRJrtjGBxERERFRT9NTbvy2F+4dIiIiIiLqFmx8EBERERFRt+CwKyIiIiKiTsIM523j3iEiIiIiom7Bng8iIiIiok7CG87b1ul7x2QyQVGUZlN0dHRnF9Wi7du34/bbb4e7uzsMBgPGjBmD2lpZdmIiIiIiIuo8itVqtXbmCk0mE86cOYOsrCzVfJ1OBx8fn84sqpnt27cjOjoaSUlJmDx5MpycnFBQUIC77roLOp2uQ+vYX7ZBVHajcC9uPtWxel1qcsh5zTFOwpw34xLMorj3svxkBQq4C/vwXBxkb1xto2xnNgmPEy8X7YEezo6issyWRlGct6COAODiYNAcc7iiSlSWj05WR72jLO5Mrez3nTCDl+aY843nRGVVN3TvsezprD3w5/Oy/eghKAsAHBRZ3M8WYT2dtJdXJXzfervJ6vjWYdlFNqp3neYY6TF5skq2baOD6kVxlfWyetYJPj+ChO9bcU2TKC7QVXYOlGl/u7HrrLOorPiruudHbYnQYf+wW9mF3/6P3cruqC7pF9LpdAgKClJNv2x4KIqC1atXY8qUKXBzc0N4eDjy8vJU68jLy0N4eDj0ej2ioqKQk5MDRVFQVlbWarl//vOf8fjjj2PBggW47rrrYDQaER8f3+GGBxERERERdR27DUpbvHgx4uPjsXfvXsTExCAhIQFm84Vf2AsLCzF16lTExcWhoKAAiYmJSE5ObnN9JSUl+PrrrxEYGIibb74ZvXr1wm233YavvvqqOzaHiIiIiIja0SWNjw0bNsDDw0M1paamqpYxmUyYPn06wsLCkJqaiqqqKuzYsQMAsGrVKhiNRqSnp8NoNGLatGkwmUxtlnn06FEAwKJFizBz5kzk5+fjhhtuwB133IFDhw51xWYSEREREakocLDb1BN0ydOuoqKikJmZqZrn6+ureh0REWH7++LN4SUlJQCAAwcOIDIyUrX8iBEj2iyzqenCuMbExEQ8/PDDAIBhw4bh008/xeuvv460tLRmMRaLBRaLRTWvzlIPF51s/CEREREREbWuS5pI7u7uCAsLU02XNj6cndVf8BVFsTUgJIKDgwEAgwYNUs2/9tprceLEiRZj0tLS4OXlpZpeyXhPXAciIiIi+o1THOw39QBXZC2NRiN27dqlmrdz5842YwYMGIDevXvjwIEDqvkHDx5E//79W4xJSkpCeXm5apr153sur/JERERERNSiLhl2ZbFYUFxcrC7IyQn+/v4dik9MTMTy5csxf/58zJgxA3v27EF2djaACz0kLVEUBU8//TQWLlyIoUOH4vrrr0dOTg7279+P3NzcFmN0Ol2zJ2G5NHHIFRERERFRV+iSxkd+fr5tGNRFRqMR+/fv71B8aGgocnNzMW/ePLz44osYNWoUkpOT8cgjj7T52Nwnn3wS58+fx5///GeYzWYMHToUW7ZswcCBAy9re4iIiIiIOoIZztvW6Y2P7OxsWy9Fa1rKa3hp/o7Y2FjExsbaXqekpKBv377Q6/VtrnvBggVYsGBBh+tLRERERETdo0t6PjrDihUrEBkZCT8/P2zduhXp6emYM2dOl5crTffeIAy8P6xWFOfmpD0DsjSZ/ab/lWVxjXngZ1Hcv3O0Z0Z3FWQIBgAfF09RHCB7OEKjVZZJ19VJ+z6xNJaLygpybbuB35ryOrMozsPZQ3OMs4Msw7mXi+ySJ3184XU+we0v1ILqhhLNMY6KLJlqgF77teRCebLj5GdLyw8AaYuXTv4wEgln4a+WQa6yeuodfdpf6BLuDbKM9o6Kqyhucv8aUVw/d6PmmPK6o6KywgzS/R8oittfJvuMG+Kr/fhycdB+nQSAfh6yz8bqhjJRXIDeXXPMiADZsXUla+0WgSvRyy+/jPT0dBQXF2Po0KF46aWX2nzC7AsvvIDMzEycOHEC/v7+mDp1KtLS0trtHPilK7bxcejQISxduhRmsxkhISGYN28ekpKS7F0tIiIiIqIeb+3atZg7dy5WrlyJkSNH4oUXXsDEiRNx4MABBAY2b5S/9dZbWLBgAV5//XXcfPPNOHjwIEwmExRFwfLlyztc7hXb+MjIyEBGRoa9q0FERERE1GE9Jdnf8uXLMXPmTFt+vJUrV2Ljxo14/fXXW7yFYdu2bbjllltw3333AbjwpNnp06fj66+/1lRuz9g7RERERETUJovFgoqKCtV0aUJtAKirq8M333yDcePG2eY5ODhg3Lhx2L59e4vrvvnmm/HNN99gx44dAICjR49i06ZNiImJ0VRHNj6IiIiIiH4FWkqgnZaW1my50tJSNDY2olevXqr5vXr1apYu46L77rsPzz33HEaPHg1nZ2cMHDgQY8eOxTPPPKOpjmx8EBERERF1EkVxsNvUUgLtzrpn+osvvkBqaipWrFiB3bt3Y926ddi4cSOWLFmiaT1X7D0fRERERETUcS0l0G6Jv78/HB0dcebMGdX8M2fOICgoqMWYv/zlL3jggQfwxz/+EQAwZMgQVFdXY9asWUhOToaDQ8f6NNjzQURERETUWRTFflMHubi4YPjw4fj0009t85qamvDpp59i1KhRLcbU1NQ0a2A4OjoC0JbOgT0fRERERES/MXPnzsVDDz2EG2+8ESNGjMALL7yA6upq29OvHnzwQfTp08d2z8jkyZOxfPlyDBs2DCNHjsThw4fxl7/8BZMnT7Y1QjqCjQ8iIiIiot+Ye++9F2fPnsVf//pXFBcX4/rrr0d+fr7tJvQTJ06oejqeffZZKIqCZ599FqdOnUJAQAAmT56MlJQUTeUqVmna61aYTCbk5OQ0mz9x4kTk5+d3ZlHNFBcX4+mnn8aWLVtQWVkJo9GI5ORk3H333R1ex9HKD0Vl1zXKslkGCjPiSjKqF1Z0vFX6S14uskPETZh1/JlvDJpj/nmTLJt3RZ3sfdPJdiUURbZPLILjq0y4bVIDPGS/ZVQ3aM/67uoo27byOtn+93SWxZ2qkY1sdRBsXn8PWebqn8/Lsgt762Tvt4OiPe6n6uaPiewIvaPsfevj1qv9hVpQ11QpipO8B74asgn/UknteVGc5BokjfMQnm8Bsl2Cny2y8nq7eYviPi2q0hwzxKdBVJb0PK1r0n5dBoDaBu3vt054nga5xoriusPVN62wW9kH//uo3cruqC7p+YiOjkZWVpZqXkdufrlcDz74IMrKypCXlwd/f3+89dZbiI+Px65duzBs2LAuL5+IiIiIiFrXJTec63Q6BAUFqSYfHx/b/xVFwerVqzFlyhS4ubkhPDwceXl5qnXk5eUhPDwcer0eUVFRyMnJgaIoKCsra7Xcbdu24U9/+hNGjBiBq666Cs8++yy8vb3xzTffdMVmEhERERGp9YAbzu3Jbk+7Wrx4MeLj47F3717ExMQgISEBZrMZAFBYWIipU6ciLi4OBQUFSExMRHJycrvrvPnmm7F27VqYzWY0NTXhnXfewfnz5zF27Ngu3hoiIiIiImpPlzQ+NmzYAA8PD9WUmpqqWsZkMmH69OkICwtDamoqqqqqbOnaV61aBaPRiPT0dBiNRkybNg0mk6ndct99913U19fDz88POp0OiYmJWL9+PcLCwlpcvuUU9LJxjkRERERE1LYuuecjKioKmZmZqnm+vr6q1xEREba/3d3dYTAYUFJSAgA4cOAAIiMjVcuPGDGi3XL/8pe/oKysDJ988gn8/f3xwQcfID4+Hl9++SWGDBnSbPm0tDQsXrxYNe/xBdPwxDP3tVsWEREREVEzPWT4k710SePD3d291d6Gi5ydnVWvFUVBU5PsyU8AcOTIEfzrX//Cd999h+uuuw4AMHToUHz55Zd4+eWXsXLlymYxSUlJmDt3rmreqbpPxHUgIiIiIqLWXZF5PoxGIzZt2qSat3PnzjZjamouPKqwpcyLrTVqWkpBX1rp3OKyRERERETtstsd1T1Dl+wei8WC4uJi1VRaWtrh+MTEROzfvx/z58/HwYMH8e677yI7OxvAhR6SllxzzTUICwtDYmIiduzYgSNHjuD555/Hli1bEBcX1wlbRUREREREl6NLGh/5+fkIDg5WTaNHj+5wfGhoKHJzc7Fu3TpEREQgMzPT9rSr1vKFODs7Y9OmTbZsixEREXjjjTeQk5ODmJiYTtkuIiIiIqK2WBXFblNP0OkZzrtKSkoKVq5ciZMnT3ZpOXvNG0RxnxbJkije3luWuTfUU3t5lsZaUVknq2TpvIPdZPfw/GW3p+aYeYO1Z4wFAGcH2eF/ziJrt0sy0wPA1YbGbivL1clNFFfTIMuU7e7krjnmh3OyLM3FtbL3zeilff8DQIBedg44Omgf/tlklT2pr054q52b8Dipqtd+HaqRJXcWn6fX+XiL4srrzKI4R8F16FC57LocLjyWy4X7UpKt/FiVrKxA4fnmI8yB7KDI3gOzRft7EKjXfp0EgOoG2WdjXZPsS6xekK28QVhWsNtkUVx3CL91ld3KPvRlot3K7qgr8p4PAFixYgUiIyPh5+eHrVu3Ij09HXPmzLF3tYiIiIiISOiKbXwcOnQIS5cuhdlsRkhICObNm4ekpCR7V4uIiIiIqHU9Y/ST3VyxjY+MjAxkZGTYuxpERERERNRJrtjGBxERERFRj+PAro+28EnERERERETULdj4ICIiIiKibsFhV0REREREnaWH5NuwF/Z8EBERERFRt2DPBxERERFRZ2HHR5s09XyYTCYoitJsio6O7qr62bzyyisYO3YsDAYDFEVBWVlZs2XMZjMSEhJgMBjg7e2NGTNmoKpKlt2TiIiIiIg6l+aej+joaGRlZanm6XS6TqtQa2pqahAdHY3o6OhWkw0mJCTg9OnT2LJlC+rr6/Hwww9j1qxZeOuttzpczpZTsm2Jv+q8KM5skTWPN//UqDmmj7ujqCy9o1UYJ9u2v99YoTlm7VG9qKy7Q2XvW02DbJ9c5dYkinv/mPbj8vbedaKyKutrRXFXeQ4Uxe35+ZjmmAGe2o9/APj8tIsoLtBV9r6dqJZ1Lt/o36A5pk5WRRyvlF0XvFxk546vXvu585/TsuvylAGyc8BBkY1IPl0ji9tfrv09kBwjAHCkQvZ+SxXXav8cCBZeJy1Nss+cPT/L3rebe/mI4lwdSzXHVNZXi8racdZZFDeuj7so7nRNueaYj36Snd9/GiQK6x581G6bNJ9xOp0OQUFBqsnH5/9OQEVRsHr1akyZMgVubm4IDw9HXl6eah15eXkIDw+HXq9HVFQUcnJyWu3NuOjJJ5/EggULcNNNN7X4/x9//BH5+flYvXo1Ro4cidGjR+Oll17CO++8g6KiIq2bSUREREREnaxLbjhfvHgx4uPjsXfvXsTExCAhIQFmsxkAUFhYiKlTpyIuLg4FBQVITExEcnLyZZe5fft2eHt748Ybb7TNGzduHBwcHPD1119f9vqJiIiIiOjyaG58bNiwAR4eHqopNTVVtYzJZML06dMRFhaG1NRUVFVVYceOHQCAVatWwWg0Ij09HUajEdOmTYPJZLrsDSkuLkZgYKBqnpOTE3x9fVFcXHzZ6yciIiIiapei2G/qATQPSI6KikJmZqZqnq+vr+p1RESE7W93d3cYDAaUlJQAAA4cOIDIyEjV8iNGjNBajU5hsVhgsVhU8xrq6uDkIhsXTkRERERErdPc8+Hu7o6wsDDVdGnjw9lZfYOToihoahLeDdlBQUFBtgbORQ0NDTCbzQgKCmoxJi0tDV5eXqrp09XvdGk9iYiIiOhXTLHj1AN0e5JBo9GIXbt2qebt3Lnzstc7atQolJWV4ZtvvrHN++yzz9DU1ISRI0e2GJOUlITy8nLVdMcfp112XYiIiIiIqDnNw64sFkuzeyicnJzg7+/fofjExEQsX74c8+fPx4wZM7Bnzx5kZ2cDuNBD0pri4mIUFxfj8OHDAIB9+/bB09MTISEh8PX1xbXXXovo6GjMnDkTK1euRH19PebMmYNp06ahd+/eLa5Tp9M1e0wwh1wREREREXUNzT0f+fn5CA4OVk2jR4/ucHxoaChyc3Oxbt06REREIDMz0/a0q7byhaxcuRLDhg3DzJkzAQBjxozBsGHDVI/xffPNN3HNNdfgjjvuQExMDEaPHo1XXnlF6yYSEREREck4KPabegBNPR/Z2dm2XorWWK3NE0hdmr8jNjYWsbGxttcpKSno27cv9PrWE8UtWrQIixYtarNsX19fTQkFiYiIiIio+8jS716mFStWIDIyEn5+fti6dSvS09MxZ84ce1SlmdgQS/sLtaBYmNlWmCgbEb6y7LYSZXWylnRRjWzjJNmFvyuTZXGdUC97vwMEWZoB+b4c10d7pmZPZ1kdnR1k+7Ks7ogozuCifZ+cqJJlaZ4g2I8AoHeS7ctgYWZ0Zwc3zTEKZJnph/v3FcXVNmrP0gwANQ3aMzVLj+WT1bLzzcNJtm2ezrLyhgqu5wcEWdEBoI84e7goDEP9tA9lPlwuO091jrLjRLL/AeBMrew48dG1/kNra6rqz4vKuimwXhTXaJV9NjoJToEIn+77PtNtekYHhN3YpfFx6NAhLF26FGazGSEhIZg3bx6SkpLsURUiIiIiIuomdml8ZGRkICMjwx5FExERERF1GWsPSfZnL93+qF0iIiIiIvptYuODiIiIiIi6hV2GXRERERER/Sr1kEfe2gt7PoiIiIiIqFuw54OIiIiIqLOw46NN7PkgIiIiIqJuwcYHERERERF1C03DrkwmE3JycprNnzhxIvLz8zutUi155ZVX8NZbb2H37t2orKzEuXPn4O3tbfv/sWPHsGTJEnz22WcoLi5G7969cf/99yM5ORkuLh3PsFpZL+srCxRmMq5ukJX3j30emmMm95NlQA71bBTFBbvJss0qgv7KhIE1orIsjbL9XyfM9nvOIivvkyKd5phbe8myBPdylb3ffd211xEAfizTvjP99bI3oEZ4vn1+WnuWZgBwFWZcju6n/Xg+VS37LSnI9aQorlR4LAPaM3OHGWTHpLPw57VzdbJA6fv97+Paz527+ssyUJ+plW2br052zp2s0l7P/5bIzjezRbZt/YWfcZP6yd6DE4J9Ui48JqXnzjmLLKP6l2e0v3cDPH6NGc457qotmu/5iI6ORlZWlmqeTif70qFFTU0NoqOjER0d3WI29P3796OpqQmrVq1CWFgYvvvuO8ycORPV1dVYtmxZl9ePiIiIiIjaprkprdPpEBQUpJp8fHxs/1cUBatXr8aUKVPg5uaG8PBw5OXlqdaRl5eH8PBw6PV6REVFIScnB4qioKysrNVyn3zySSxYsAA33XRTi/+/2CiaMGECrrrqKsTGxuKpp57CunXrtG4iEREREZGMg2K/qQfokns+Fi9ejPj4eOzduxcxMTFISEiA2WwGABQWFmLq1KmIi4tDQUEBEhMTkZyc3BXVQHl5OXx9fbtk3UREREREpI3mxseGDRvg4eGhmlJTU1XLmEwmTJ8+HWFhYUhNTUVVVRV27NgBAFi1ahWMRiPS09NhNBoxbdo0mEymTtmYXzp8+DBeeuklJCYmtrqMxWJBRUWFaqqz1Hd6XYiIiIjoN0Kx49QDaG58REVFYc+ePapp9uzZqmUiIiJsf7u7u8NgMKCkpAQAcODAAURGRqqWHzFihKTurTp16hSio6Nxzz33YObMma0ul5aWBi8vL9WU9eK7nVoXIiIiIiK6QPMN5+7u7ggLC2tzGWdnZ9VrRVHQ1CR8PJBGRUVFiIqKws0334xXXnmlzWWTkpIwd+5c1bwfKj/ryuoREREREf1mdXuGc6PRiE2bNqnm7dy5s1PWferUKURFRWH48OHIysqCg0PbHTs6na7Zk7pc6pxbWZqIiIiIqB181G6bNDc+LBYLiouL1StxcoK/v3+H4hMTE7F8+XLMnz8fM2bMwJ49e5CdnQ3gQg9Ja4qLi1FcXIzDhw8DAPbt2wdPT0+EhITA19cXp06dwtixY9G/f38sW7YMZ8+etcUGBQVp3EoiIiIiIupsmu/5yM/PR3BwsGoaPXp0h+NDQ0ORm5uLdevWISIiApmZmbanXbWVL2TlypUYNmyY7R6OMWPGYNiwYbbH+G7ZsgWHDx/Gp59+ir59+6rqR0RERETULRTFflMPoFitVllK1k6UkpKClStX4uRJWabdzrS/bIMo7lyd7A2XPuu4t7v2e2ikmW0Dhdmk9U6yQ8vFQfvQt1PVsiyucfeViOKWr5I1anu5yvalJKO3h7Ns/zsJL14VsoTqMLhor+fRSu1ZsgHgmDDuai9ZBt7S87Jzbri/9riaBtmT+s7Udu+HlafguKyol9XRVfZ2Qy/MVH6+UVZPyTlQIfzM8RKUBQCHK2THcj/BZ5X0DlHp+S29Vg4UZkava9L+3tXKisLhCtk+GeIjK/BktfbjpFH4LXRU4CRZYDcIu3uN3co+/P79diu7o7r9ng8AWLFiBSIjI+Hn54etW7ciPT0dc+bMsUdViIiIiIiom9il8XHo0CEsXboUZrMZISEhmDdvHpKSkuxRFSIiIiKiztMlKbx/PezS+MjIyEBGRoY9iiYiIiIiIjuxS+ODiIiIiOhXqYfc+G0v7BgiIiIiIqJuwZ4PIiIiIqLOwo6PNrHng4iIiIiIugUbH0RERERE1C047IqIiIiIqJNYHTjuqi2aej5MJhMURWk2RUdHd1X9bF555RWMHTsWBoMBiqKgrKys1WUtFguuv/56KIqCPXv2dHndiIiIiIiofZp7PqKjo5GVlaWap9PpOq1CrampqUF0dDSio6PbTUj4P//zP+jduzcKCgq6vF4XldTKRrDVN8lax5KnuHk6W0Vl1TWJwuAk3LbimkbNMXpHUVG4a9EAUdyT84tFcS+n+4jiJHuyql72fjfKwtDfQ3agHK/Sfu5YhXX8b4mLKC5AL9s2f2EcoP2Atmg/bQAA+845i+JGBdaJ4s43aj+aPziuF5X1h6trRXFuTrIDzFUYd7pG+zlQWS+7vkq3rfS87DMuyFV7eQ3C8/tUjeyDwMNJdp7295CddNUN2mOk7/fVBlkdHR1kb4K74PiSfuZc0fio3TZpvprodDoEBQWpJh+f//tCpSgKVq9ejSlTpsDNzQ3h4eHIy8tTrSMvLw/h4eHQ6/WIiopCTk5Ou70ZTz75JBYsWICbbrqpzfp99NFH2Lx5M5YtW6Z104iIiIiIqAt1yQ3nixcvRnx8PPbu3YuYmBgkJCTAbDYDAAoLCzF16lTExcWhoKAAiYmJSE5O7pRyz5w5g5kzZ+J///d/4ebm1inrJCIiIiKizqG58bFhwwZ4eHioptTUVNUyJpMJ06dPR1hYGFJTU1FVVYUdO3YAAFatWgWj0Yj09HQYjUZMmzYNJpPpsjfEarXCZDJh9uzZuPHGGy97fUREREREmil2nHoAzfd8REVFITMzUzXP19dX9ToiIsL2t7u7OwwGA0pKSgAABw4cQGRkpGr5ESNGaK1GMy+99BIqKyvbvR/klywWCywWi2penaUeLjrZGGgiIiIiImqd5p4Pd3d3hIWFqaZLGx/Ozuov74qioKlJeuNlx3z22WfYvn07dDodnJycEBYWBgC48cYb8dBDD7UYk5aWBi8vL9X0SsZ7XVpPIiIiIvoVc1DsN/UA3Z7nw2g0YtOmTap5O3fuvOz1/vOf/8TSpUttr4uKijBx4kSsXbsWI0eObDEmKSkJc+fOVc07VvvpZdeFiIiIiIia09z4sFgsKC5WP2bUyckJ/v7+HYpPTEzE8uXLMX/+fMyYMQN79uxBdnY2gAs9JK0pLi5GcXExDh8+DADYt28fPD09ERISAl9fX4SEhKiW9/DwAAAMHDgQffv2bXGdOp2u2WOCXZo45IqIiIiIhPio3TZpHnaVn5+P4OBg1TR69OgOx4eGhiI3Nxfr1q1DREQEMjMzbU+7aitfyMqVKzFs2DDMnDkTADBmzBgMGzas2WN8iYiIiIjoyqSp5yM7O9vWS9EaawvZvy7N3xEbG4vY2Fjb65SUFPTt2xd6feuJpBYtWoRFixZ1uK4DBgxosS5ERERERGQf3X7PBwCsWLECkZGR8PPzw9atW5Geno45c+bYoyrNGFxkDZZ+7rIb6qW34YcIMqs2CDOOS7OPeji7iuKOVFjaX+gSroIsugAwoe95UVzCvwyiuHtm/yyK2/6/2svTOcr2v6MiywJ+sqpSFHetd8eGbP7Sp0XnRGXNGVQtivN0lh1fdcJzztXJT3OMosj2ybjesnNA7yjbNrNF+7585NoaUVllFlkqK52j7P0uqZWVN8BTe9ypatmnh/R+1AhfQVpuAL1c3TXH1DRWicoaGVAvigt0lWVGP1ohixvgqf2983SWvd8VdbJj8ufzsgMlxEP75055nez8vqJx1FWb7NL4OHToEJYuXQqz2YyQkBDMmzdP0yNyiYiIiIio57FL4yMjIwMZGRn2KJqIiIiIqOv0kEfe2ousP46IiIiIiEgjNj6IiIiIiKhb2GXYFRERERHRrxKHXbWJPR9ERERERNQt2PNBRERERNRJrOz4aBN7PoiIiIiIqFuw8UFERERERN1C07Ark8mEnJycZvMnTpyI/Pz8TqtUS1555RW89dZb2L17NyorK3Hu3Dl4e3s3W27jxo147rnnsHfvXuj1etx222344IMPOlzOee2JwwEAAa6y7KNeLrIs1At2as+sem9orais3m6ybTM4y3amJPurXpiR+Ea9bNuqG2R9ql+9IcuMPulDX80xZWWybcuKlWYql5V3oLxUc8ytQXpRWUXVsmPyVE33/k7j6nRWc0xVvSwDdVmd7Fg+XiXL7mz00l7PYuH+l2QOB4AyQRZ2APB2kcXdtdlLc8zGibJs3ierZdnDXYXX2AKz9s+dgbLLJGpkpwD+97DsWP7D1W6iuB/OaX8PnBxk+99DOLjeT/jZ+FO19vfbRyfbtisabzhvk+bDMjo6GllZWap5Op2u0yrUmpqaGkRHRyM6OrrVbOjvv/8+Zs6cidTUVNx+++1oaGjAd9991+V1IyIiIiKi9mn+WUin0yEoKEg1+fj42P6vKApWr16NKVOmwM3NDeHh4cjLy1OtIy8vD+Hh4dDr9YiKikJOTg4URUFZWVmr5T755JNYsGABbrrpphb/39DQgCeeeALp6emYPXs2rr76agwaNAjx8fFaN5GIiIiISEZR7Df1AF0ylmDx4sWIj4/H3r17ERMTg4SEBJjNZgBAYWEhpk6diri4OBQUFCAxMRHJycmXXebu3btx6tQpODg4YNiwYQgODsadd97Jng8iIiIioiuE5sbHhg0b4OHhoZpSU1NVy5hMJkyfPh1hYWFITU1FVVUVduzYAQBYtWoVjEYj0tPTYTQaMW3aNJhMpsvekKNHjwIAFi1ahGeffRYbNmyAj48Pxo4da2v4XMpisaCiokI1WSyycbRERERERHBQ7Df1AJobH1FRUdizZ49qmj17tmqZiIgI29/u7u4wGAwoKSkBABw4cACRkZGq5UeMGCGpu0pT04Wbo5KTk3H33Xdj+PDhyMrKgqIoeO+991qMSUtLg5eXl2pa+XzLyxIRERER0eXRfMO5u7s7wsLC2lzG2dlZ9VpRFFvjoKsEBwcDAAYNGmSbp9PpcNVVV+HEiRMtxiQlJWHu3LmqeafqPum6ShIRERER/YZ1e54Po9GIXbt2qebt3Lnzstc7fPhw6HQ6HDhwwDavvr4ex44dQ//+/VuM0el0MBgMqkmnc25xWSIiIiKidjnYceoBNPd8WCwWFBcXq1fi5AR/f/8OxScmJmL58uWYP38+ZsyYgT179iA7OxvAhR6S1hQXF6O4uBiHDx8GAOzbtw+enp4ICQmBr68vDAYDZs+ejYULF6Jfv37o378/0tPTAQD33HOP1s0kIiIiIqJOprmNlJ+fj+DgYNU0evToDseHhoYiNzcX69atQ0REBDIzM21Pu2orX8jKlSsxbNgwzJw5EwAwZswYDBs2TPUY3/T0dEybNg0PPPAAIiMjcfz4cXz22WeqRwETEREREXUZPmq3TYrVarV7asmUlBSsXLkSJ0+etHdVUFyb1/5CLXB17PpEi7+0vUT7PTR7zbJUp9MHnhfFBegDRHENTdrLc3aQZZo9XXNGFHewQpYR90Z/WQre9ce0H1+DfGRlTc8QheHbRbJLyZZT2o/Lu0N7i8paf6xIFGdwkd2ztuGEqyju/rAazTG93WR1XH9cdu0KN8iyxY8M0B635oiLqKwE4bXLSXg9qajTnt0ZAD4/rX37JvWrE5V1okr25cQgzN6ec0j7OfBgmGw/mi2yMSdbTsmOr7lDPEVxP5aVao6pqJNt27XCzwF/3UBR3CdFxzXHSD8XfXWxorjucNWc9XYr++i/ptit7I6SfRu9TCtWrEBkZCT8/PywdetWpKenY86cOfaoChERERERdRO7ND4OHTqEpUuXwmw2IyQkBPPmzUNSUpI9qkJERERE1Hl6SL4Ne7FL4yMjIwMZGcKxHURERERE1CPZpfFBRERERPRrZO0hN37bSw95IjAREREREfV07PkgIiIiIuos/Gm/Tdw9RERERETULdj4ICIiIiKibsFhV0REREREnYWP2m2Tpp4Pk8kERVGaTdHR0V1VP5tXXnkFY8eOhcFggKIoKCsra7bMwYMHcdddd8Hf3x8GgwGjR4/G559/3uV1IyIiIiKi9ilWq9Xa0YVNJhPOnDmDrKws1XydTgcfH59Or9wvvfDCCzh//jwAICkpCefOnYO3t7dqmauvvhrh4eFIS0uDq6srXnjhBWRnZ+PIkSMICgrqUDlldR+J6ne6plEUF+wmG/nmpLhpjnFQnEVlldeZRXH1TaIweAiqWVEnK8vducOHv4qzg2xfHq+SHSfXenfs+P2l2oZSUVmKIusQjVgkexN+XOytOeZQheyYNHoFiuJqG38WxTVZG0RxjoqL5piS2npRWdJzQO8oi6uq1/6LoL/eV1TW8apzojgp6W+dVxmCNcecs5wSleXm5C6Ka7LKji9nB+3lVTXI3je9o/bPRQBwUnSiuKKaMlGcwUX7uePu5C0qq6q+TBgnO5p9dNq3TVpWiMdkUVx3CH3qQ7uVXbjsyt0vF2n+5qvT6RAUFKSaftnwUBQFq1evxpQpU+Dm5obw8HDk5eWp1pGXl4fw8HDo9XpERUUhJyen1d6Mi5588kksWLAAN910U4v/Ly0txaFDh7BgwQJEREQgPDwcf/vb31BTU4PvvvtO62YSEREREVEn65IbzhcvXoz4+Hjs3bsXMTExSEhIgNl84ZfKwsJCTJ06FXFxcSgoKEBiYiKSk5Mvu0w/Pz8YjUa88cYbqK6uRkNDA1atWoXAwEAMHz78stdPRERERESXR3PjY8OGDfDw8FBNqampqmVMJhOmT5+OsLAwpKamoqqqCjt27AAArFq1CkajEenp6TAajZg2bRpMJtNlb4iiKPjkk0/w7bffwtPTE3q9HsuXL0d+fn6XDwkjIiIiIgJw4YZze009gObB3VFRUcjMzFTN8/VVj8eNiIiw/e3u7g6DwYCSkhIAwIEDBxAZGalafsSIEVqr0YzVasVjjz2GwMBAfPnll3B1dcXq1asxefJk7Ny5E8HBzcfUWiwWWCwW9TylHjqdbDw/ERERERG1TnPPh7u7O8LCwlTTpY0PZ2f1l3dFUdDUJLz7uIM+++wzbNiwAe+88w5uueUW3HDDDVixYgVcXV2Rk5PTYkxaWhq8vLxUU8Y/1nZpPYmIiIjoV0yx49QDdHueD6PRiE2bNqnm7dy587LXW1NTAwBwcFC3pxwcHFpt+CQlJWHu3LmqebXKF5ddFyIiIiIiak5zz4fFYkFxcbFqKi3t+CM9ExMTsX//fsyfPx8HDx7Eu+++i+zsbAAXekhaU1xcjD179uDw4cMAgH379mHPnj22G9lHjRoFHx8fPPTQQygoKMDBgwfx9NNPo7CwEJMmTWpxnTqdDgaDQTVxyBURERERSVkdFLtNWr388ssYMGAA9Ho9Ro4cabtHuzVlZWV47LHHEBwcDJ1Oh6uvvrpZp0J7NDc+8vPzERwcrJpGjx7d4fjQ0FDk5uZi3bp1iIiIQGZmpu1pVzpd68/aXrlyJYYNG4aZM2cCAMaMGYNhw4bZHuPr7++P/Px8VFVV4fbbb8eNN96Ir776Cv/+978xdOhQrZtJRERERPSrtXbtWsydOxcLFy7E7t27MXToUEycONF2n/al6urqMH78eBw7dgy5ubk4cOAAXn31VfTp00dTuZqSDHaVlJQUrFy5EidPnrR3VZhksAVMMtgckww2xySDzTHJYHNMMtgckwyqMclgc0wy2NyVnGRwQNJGu5V9LK3l0T4tGTlyJCIjI/Gvf/0LANDU1IR+/frhT3/6ExYsWNBs+ZUrVyI9PR379+9vdn+3Ft1+zwcArFixApGRkfDz88PWrVuRnp6OOXPm2KMqzbg4GERxAw16UVxRdZEo7v1j2j8I6ptkHx6J18guDIGuA0RxVqv2L+gOiuyDWIGjKK6oRrYvww2yxz4v2FmhOWaEv6go6Bxl23ZkaV9R3NV/2K855vvVIaKyNp2UNSIGeMoajR//JLsu3BN6XnOM5AsNAByvkp0D+8yyj48pAyztL3SJv++tFZX158GybZN+0dY5eoviHt+u/fxefIOoKBwo135sAYCXsJG6ar/2fTltoOx9q2/SfmwBwKsHZMfy67caRXHf/nxQc8yxympRWZEBss/vYDdvUdyawzWaYyaHCH89vJLZ8ZG3LT3JVafTNRtdVFdXh2+++QZJSUm2eQ4ODhg3bhy2b9/e4rrz8vIwatQoPPbYY/j3v/+NgIAA3HfffZg/fz4cHTt+3nZJksH2HDp0CHfddRcGDRqEJUuWYN68eVi0aJE9qkJERERE9KvQ0pNc09LSmi1XWlqKxsZG9OrVSzW/V69eKC4ubnHdR48eRW5uLhobG7Fp0yb85S9/wfPPP4+lS5dqqqNdej4yMjKQkZFhj6KJiIiIiLpOGw9Q6motPcm1rXuqtWhqakJgYCBeeeUVODo6Yvjw4Th16hTS09OxcOHCDq/HLo0PIiIiIiLqXC0NsWqJv78/HB0dcebMGdX8M2fOICio5ftMg4OD4ezsrBpide2116K4uBh1dXVwcenY/Yp2GXZFRERERET24eLiguHDh+PTTz+1zWtqasKnn36KUaNGtRhzyy234PDhw6r8eQcPHkRwcHCHGx4AGx9ERERERJ3HwY6TBnPnzsWrr76KnJwc/Pjjj3jkkUdQXV2Nhx9+GADw4IMPqm5If+SRR2A2m/HEE0/g4MGD2LhxI1JTU/HYY49pKpfDroiIiIiIfmPuvfdenD17Fn/9619RXFyM66+/Hvn5+bab0E+cOAEHh/9r0fTr1w8ff/wx/vznPyMiIgJ9+vTBE088gfnz52sql40PIiIiIqLOYscbzrWaM2dOq+kuvvjii2bzRo0ahf/+97+XVSaHXRERERERUbdgzwcRERERUWexY5LBnkBT48NkMiEnJ6fZ/IkTJyI/P7/TKnUps9mMhQsXYvPmzThx4gQCAgIQFxeHJUuWwMvLy7bciRMn8Mgjj+Dzzz+Hh4cHHnroIaSlpcHJqeOb+d25MlEdK+pkB9rp2o4/HeCXRvfSnhG01CLr6CrSnrAUAKAoJ0VxBT9rz6R7lUGWgbqyvqn9hVrwnTC78+EK7ZmMAeCeUO319BRmJG6ShaGhSZY5eUOGm+aY9wrLRWUdr3QWxfV2kx0nAzxkx6VOkODZ3clDVJa/XpY5eWywLCtxg+D4ku7HiroGUVwv15YfM9mek9Vn2l+oBQ+Eab82V9TJrufS4Q61srcAMf20XxdqZW+b+PveI9fIzoGK+uOiOBfBm9DfQ3YNqm2Q7ZQmF+2Z6QHgBn/tb17JeWkWdlEYXQE0f4OKjo5GVlaWal5nJS9pTVFREYqKirBs2TIMGjQIx48fx+zZs1FUVITc3FwAQGNjIyZNmoSgoCBs27YNp0+fxoMPPghnZ2ekpqZ2af2IiIiIiKh9mtvfOp0OQUFBqsnHx8f2f0VRsHr1akyZMgVubm4IDw9HXl6eah15eXkIDw+HXq9HVFQUcnJyoCgKysrKWixz8ODBeP/99zF58mQMHDgQt99+O1JSUvDhhx+ioeFCK3vz5s344YcfsGbNGlx//fW48847sWTJErz88suoq5P9QkdEREREpImDYr+pB+iSG84XL16M+Ph47N27FzExMUhISIDZbAYAFBYWYurUqYiLi0NBQQESExORnJysuYzy8nIYDAbbkKrt27djyJAhtseDAReGg1VUVOD777/vnA0jIiIiIiIxzY2PDRs2wMPDQzVdOqzJZDJh+vTpCAsLQ2pqKqqqqrBjxw4AwKpVq2A0GpGeng6j0Yhp06bBZDJpqkNpaSmWLFmCWbNm2eYVFxerGh4AbK+Li4tbXI/FYkFFRYVqqrPIxjkSEREREVkVxW5TT6C58REVFYU9e/aoptmzZ6uWiYiIsP3t7u4Og8GAkpISAMCBAwcQGRmpWn7EiBEdLr+iogKTJk3CoEGDsGjRIq3VV0lLS4OXl5dqynnx3ctaJxERERERtUzzDefu7u4ICwtrcxlnZ/UTZRRFQVOT7EkNv1RZWYno6Gh4enpi/fr1qnKCgoJsvSsXnTlzxva/liQlJWHu3LmqeXsrPrvsehIRERERUXPdnmTQaDRi165dqnk7d+5sN66iogITJkyAi4sL8vLyoNfrVf8fNWoU9u3bZ+thAYAtW7bAYDBg0KBBLa5Tp9PBYDCoJhed7FGcRERERERwsOPUA2iupsViQXFxsWoqLS3tcHxiYiL279+P+fPn4+DBg3j33XeRnZ0N4EIPSUsuNjyqq6vx2muvoaKiwlZ2Y+OFh49PmDABgwYNwgMPPICCggJ8/PHHePbZZ/HYY491+aOAiYiIiIiofZobH/n5+QgODlZNo0eP7nB8aGgocnNzsW7dOkRERCAzM9P2tKvWGgm7d+/G119/jX379iEsLExV9smTFxLZOTo6YsOGDXB0dMSoUaNw//3348EHH8Rzzz2ndROJiIiIiGQUxX5TD6Dpno/s7GxbL0VrrNbm6Wsvzd8RGxuL2NhY2+uUlBT07du32VCqi8aOHdviei/Vv39/bNq0qd3liIiIiIio+2m+4bwzrFixApGRkfDz88PWrVuRnp6OOXPm2KMqzfR1l90Y/9xBD1Hco9dWi+L6uWuPGerkLSrrZNXPoriztY2iuH4e7Tc0L2W2yFr77k7aywKA63waRHFldbJ6Gr20H5c6Ry9RWS4OBlHcwfKfRHGhntrrGZ1pEZX12WO1orhGq/B985YdXy4O3ppjTlSVi8oK0Mvq6O4cIIorqun4MN2LJvaVJYptED7npLrhjCjOSfij47Xe2q+VJbWywd1XGWSVPFAmCsNtwSGaY45UHBOV5eksO5a9XLxFcT9Vy845H532eno6u4rKarLK0gccqawRxV3t1fKPyG2paZCVdUXrIcn+7MUujY9Dhw5h6dKlMJvNCAkJwbx585CUlGSPqhARERERUTexS+MjIyMDGRkZ9iiaiIiIiIjsxC6NDyIiIiKiXyUOu2pTD3kiMBERERER9XTs+SAiIiIi6izs+GgTez6IiIiIiKhbsPFBRERERETdgsOuiIiIiIg6iZU3nLdJU8+HyWSCoijNpujo6K6qHwDAbDbjT3/6E4xGI1xdXRESEoLHH38c5eX/l+CnoKAA06dPR79+/eDq6oprr70WL774YpfWi4iIiIiIOk5zz0d0dDSysrJU83Q6XadVqCVFRUUoKirCsmXLMGjQIBw/fhyzZ89GUVERcnNzAQDffPMNAgMDsWbNGvTr1w/btm3DrFmz4OjoqCl7+skq2Ui0J6+TZSp3dpBlZD1Tq71Vfab2nKgsf+0JSwEABhfZtklIf2OorJdF7i51FsVd7SXLjP5TtfZ6+utl2XdrGmRxfd1dRHHHBJm5X31Qdp4W1cjiqhtkcXVN2jNXA0CAXvu56iO8DJ8WZsp2rdOeqRwAnAXFbTsjO99GB8kyo9cLM6NX1Mv2ZX2T9vNb+tnxU7Vs43yFx9c+8zHNMZJjBACOVsoCfXWya56HMKO6xJGKWlGc9Ad4X0EWdgA4Z9FeT+n1NUiW9L17KOz5aIvmxodOp0NQUFCr/1cUBa+++io2btyIjz/+GH369MHzzz+P2NhY2zJ5eXmYN28eTp48iVGjRsFkMsFkMuHcuXPw9vZuts7Bgwfj/ffft70eOHAgUlJScP/996OhoQFOTk74wx/+oIq56qqrsH37dqxbt05T44OIiIiIiLpGl9xwvnjxYsTHx2Pv3r2IiYlBQkICzGYzAKCwsBBTp05FXFwcCgoKkJiYiOTkZM1llJeXw2AwwMmp9fZTeXk5fH19xdtBRERERKSJg2K/qQfQ3PjYsGEDPDw8VFNqaqpqGZPJhOnTpyMsLAypqamoqqrCjh07AACrVq2C0WhEeno6jEYjpk2bBpPJpKkOpaWlWLJkCWbNmtXqMtu2bcPatWvbXIaIiIiIiLqP5mFXUVFRyMzMVM27tHchIiLC9re7uzsMBgNKSkoAAAcOHEBkZKRq+REjRnS4/IqKCkyaNAmDBg3CokWLWlzmu+++w1133YWFCxdiwoQJra7LYrHAYrGo5tVZ6uGik40vJiIiIiKi1mnu+XB3d0dYWJhqurTx4eys/vKuKAqamoR38P1CZWUloqOj4enpifXr1zcrBwB++OEH3HHHHZg1axaeffbZNteXlpYGLy8v1ZTzz3cvu55ERERE9Bul2HHqAbo9yaDRaMSuXbtU83bu3NluXEVFBSZMmAAXFxfk5eVBr2/+CKbvv/8eUVFReOihh5CSktLuOpOSklBeXq6aHno8vuMbQ0REREREHaZ52JXFYkFxcbF6JU5O8Pf371B8YmIili9fjvnz52PGjBnYs2cPsrOzAVzoIWnJxYZHTU0N1qxZg4qKClRUVAAAAgIC4OjoiO+++w633347Jk6ciLlz59rq6OjoiICAgBbXq9Ppmj0m2OU8h1wRERERkYxDt/+037No3j35+fkIDg5WTaNHj+5wfGhoKHJzc7Fu3TpEREQgMzPT9rSr1vKF7N69G19//TX27duHsLAwVdknT54EAOTm5uLs2bNYs2aN6v+X3l9CRERERET2oVit1u7LktOKlJQUrFy50taQsKevSzaK4ryECfWkiaIkSanOCJOJ+etl9+t0Z5LBcxbZQMdGYRW7O8mg5Pjy18s2rkZWRQToZUkGT9XUa475qVqYGM9Rtk+kSbD6ukuTDF7+PXIddfZ89+5LSQK5HWe7N8mgdNi09Brr6qg9xkGR7f/aRtnW6YS/5FYLrifSJINldbJtkybUkyYZdBRUs0SQWBiQP3nVR7hPmgRh1Q2ySg7y/p0orjsM+Nd/7Fb2sTm32a3sjtI87KozrFixApGRkfDz88PWrVuRnp5+xSQC1Dt1byOiVPjBL8nMfbRS8AkHwFsn+yIk3SeVddr3ibTxd6Bctk+++Vn2RTvCV/bNvljwpeakICs6IP9S2c9dllPnbO1ZzTFBrrJjMnrM16K4jf8ZKYr7RthIvTlQe4OsRtbOEX/Rtgh+AAEAJ8F1YfOp5vf4dcSIAO37EZB/qezjJjsuD1Zovw5VC7OpS39MkmZ9P1Su/WvGMD/ZdfJopewrze6fZcfyA2Gyep4SZJmX/OAIyD8bfXVeoritZ6o0x1zlKbx4XcGY4Lxtdml8HDp0CEuXLoXZbEZISAjmzZuHpKQke1SFiIiIiIi6iV0aHxkZGcjIyLBH0UREREREXYY9H23j/fhERERERNQt2PggIiIiIqJuYZdhV0REREREv0at5a2jC9jzQURERERE3YI9H0REREREnYQdH21jzwcREREREXUL9nwQEREREXUS9ny0TVPjw2QyIScnp9n8iRMnIj8/v9MqdSmz2YyFCxdi8+bNOHHiBAICAhAXF4clS5bAy6t5Fs6ff/4ZQ4cOxalTp3Du3Dl4e3t3uCxJNlYAuNFflknXU5h99PPT2jNs39nPIirLRdg/5iA8+SSZ0esaZYUN8JCl7V0QoT2LKwA4Cffl/x720Bzz8NXVorI8hD9JnG80i+KCBVmhHRXZebNJmKl86qwyUVz6836iOE8X7fukqkZ2cOm0J9cGIO82l1wXHhskO9/MFtl1wd1JdnydqJbtlfyfdJpj7h94XlRWlSwpN6xW2b682kt7gWV1srJC3GWZsiN8ZZ8D5XWy48RB8M1UmqncRfB5CgA1DWWiuCBX7edAWR0H4fzWaP6aER0djaysLNU8nU77hVOLoqIiFBUVYdmyZRg0aBCOHz+O2bNno6ioCLm5uc2WnzFjBiIiInDq1KkurRcREREREXWc5uamTqdDUFCQavLx8bH9X1EUrF69GlOmTIGbmxvCw8ORl5enWkdeXh7Cw8Oh1+sRFRWFnJwcKIqCsrKyFsscPHgw3n//fUyePBkDBw7E7bffjpSUFHz44YdoaFD/qpKZmYmysjI89dRTWjeNiIiIiOiyKA72m3qCLqnm4sWLER8fj7179yImJgYJCQkwmy8MySgsLMTUqVMRFxeHgoICJCYmIjk5WXMZ5eXlMBgMcHL6v86bH374Ac899xzeeOMNODj0kHeAiIiIiOg3QvM39A0bNsDDw0M1paamqpYxmUyYPn06wsLCkJqaiqqqKuzYsQMAsGrVKhiNRqSnp8NoNGLatGkwmUya6lBaWoolS5Zg1qxZtnkWiwXTp09Heno6QkJCOrQei8WCiooK1VRvqdNUFyIiIiKiixTFflNPoPmej6ioKGRmZqrm+fr6ql5HRETY/nZ3d4fBYEBJSQkA4MCBA4iMjFQtP2LEiA6XX1FRgUmTJmHQoEFYtGiRbX5SUhKuvfZa3H///R1eV1paGhYvXqyad8/jCYh/suPrICIiIiKijtHc+HB3d0dYWFibyzg7O6teK4qCpibZ0yR+qbKyEtHR0fD09MT69etV5Xz22WfYt2+f7QZ0q/XCEx78/f2RnJzcrJEBXGiwzJ07VzVvY9EXl11PIiIiIiJqrtvzfBiNRmzatEk1b+fOne3GVVRUYOLEidDpdMjLy4Ner1f9//3330dtba1qnX/4wx/w5ZdfYuDAgS2uU6fTNXtSl/PP2h9hS0REREQEyFMN/FZobnxYLBYUFxerV+LkBH9//w7FJyYmYvny5Zg/fz5mzJiBPXv2IDs7G8CFHpKWVFRUYMKECaipqcGaNWts92cAQEBAABwdHZs1MEpLSwEA1157raY8H0RERERE1DU0Nz7y8/MRHBysmmc0GrF///4OxYeGhiI3Nxfz5s3Diy++iFGjRiE5ORmPPPJIq/lCdu/eja+//hoAmg35KiwsxIABA7RuBhERERFRp+spN37bi6bGR3Z2tq2XojUX77X4pUvzd8TGxiI2Ntb2OiUlBX379m02lOqisWPHtrjetkhiiIiIiIio63T7PR8AsGLFCkRGRsLPzw9bt25Feno65syZY4+qNHOVZ6Mozl/vKYprsNaI4tydtTesntnlLSrrr9eXi+JCPQNFca6O1Zpj6ptk+/GTU87tL9SCIb4N7S/UAhcHWYO4r7v28s6el+W6+d+fWv4RoD1LhssuJ5+c0v4T0YPhsnuzjlTKjpPktABR3OOxX4viVm6MbH+hS/Rzl127KutkP9GVWmTH1zA/7cfyxz+13CvennuvOi+KaxD+buUu/ET112t/IEsvN9k+ee97UZj4mrfllPbryU2BFlFZe4T3bOocZQ/ESb7eQxT30clzmmOqGmTnW0xf2b7UORpEcf8p1p6uYIR/vaisKxl7Ptpml8bHoUOHsHTpUpjNZoSEhGDevHlISkqyR1WIiIiIiKib2KXxkZGRgYyMDHsUTUREREREdmKXxgcRERER0a9Ra09vpQtkgwiJiIiIiIg0Ys8HEREREVEnUfjTfpu4e4iIiIiIqFuw8UFERERERN2Cw66IiIiIiDoJ7zdvm6aeD5PJBEVRmk3R0dFdVT8AgNlsxp/+9CcYjUa4uroiJCQEjz/+OMrLmye/y87ORkREBPR6PQIDA/HYY491ad2IiIiIiKhjNPd8REdHIysrSzVPp5NlWu2ooqIiFBUVYdmyZRg0aBCOHz+O2bNno6ioCLm5ubblli9fjueffx7p6ekYOXIkqqurcezYMU1lhXnJtqXRKssiWtMgy0qcMFB73Lje2jOPAoCbkyzdb3ldiSiuyar9JwM/fbCorOh+2jPNAsD5Rtm+9HDyEcU9GK69nueEGain9K8Vxf18XpYleMoA7TGuTkGisq42VIriwgyy8/Tfnw0XxS3Zoz1z8oqby0Rl1TbKzm9X4XXB28Vbc8z9YWWistycZJ37Buf+oji940lRnCQTe73skMTsa2U/ybo6+oniQjzMmmM8nWXH1rg+sutymfBa2dAki7vGW/ub5+ksyzAvzVRe31Qlirt/oPYYRwe9qKwrGXs+2qb5yqzT6RAU1PoHv6IoePXVV7Fx40Z8/PHH6NOnD55//nnExsbalsnLy8O8efNw8uRJjBo1CiaTCSaTCefOnYO3t3ezdQ4ePBjvv/++7fXAgQORkpKC+++/Hw0NDXBycsK5c+fw7LPP4sMPP8Qdd9xhWzYiIkLrJhIRERERURfokhvOFy9ejPj4eOzduxcxMTFISEiA2Xzh14/CwkJMnToVcXFxKCgoQGJiIpKTkzWXUV5eDoPBAKf//5etLVu2oKmpCadOncK1116Lvn37Ij4+HidPyn6JIiIiIiLSSlHsN/UEmhsfGzZsgIeHh2pKTU1VLWMymTB9+nSEhYUhNTUVVVVV2LFjBwBg1apVMBqNSE9Ph9FoxLRp02AymTTVobS0FEuWLMGsWbNs844ePYqmpiakpqbihRdeQG5uLsxmM8aPH4+6OllXLBERERERdR7Nw66ioqKQmZmpmufr66t6/cuhTu7u7jAYDCgpuTD+/8CBA4iMjFQtP2LEiA6XX1FRgUmTJmHQoEFYtGiRbX5TUxPq6+vxz3/+ExMmTAAAvP322wgKCsLnn3+OiRMnNluXxWKBxaK+V8PiUAedzqXD9SEiIiIioo7R3PPh7u6OsLAw1XRp48PZ2Vn1WlEUNDXJbkb9pcrKSkRHR8PT0xPr169XlRMcfOGG40GDBtnmBQQEwN/fHydOnGhxfWlpafDy8lJNy//+zmXXk4iIiIh+mxwU+009QbcnGTQajdi1a5dq3s6dO9uNq6iowIQJE+Di4oK8vDzo9eqnI9xyyy0ALvSsXGQ2m1FaWor+/Vt+cklSUhLKy8tV09z507RuEhERERERdYDmYVcWiwXFxcXqlTg5wd/fv0PxiYmJWL58OebPn48ZM2Zgz549yM7OBnChh6QlFxseNTU1WLNmDSoqKlBRUQHgQu+Go6Mjrr76atx111144okn8Morr8BgMCApKQnXXHMNoqKiWlyvTqdr9pjginoOuSIiIiIimZ5y47e9aO75yM/PR3BwsGoaPXp0h+NDQ0ORm5uLdevWISIiApmZmbanXbWWL2T37t34+uuvsW/fPoSFhanK/uXTrN544w2MHDkSkyZNwm233QZnZ2fk5+c3GwZGRERERETdT1PPR3Z2tq2XojVWa/PkQGVlZarXsbGxqrwfKSkp6Nu3b7OhVBeNHTu2xfVeymAw4LXXXsNrr73W7rJERERERNS9ZOlfL9OKFSsQGRkJPz8/bN26Fenp6ZgzZ449qtLMj+dkmcpDPGQ31Ls7yXplKurrNcf0cpXV0cnBVRRX2yDLlO0m2CdF1adFZUm7RhXIAnUO1aI4Sdb3QL3s/fZ2kW1bnfCZEjpH7dmMj1cdF5UlvcnNLMyA7KTIMjW/LMhWPnqGLHt73gpZBmR3YYbzs+fLNMdYGmXHZFmdLA14meMRUVytsJ5egnPOItv9qKqX1bG+SXumcgDwdtFe0ZoGWR2l2xYo/GysbpBlAQ92E3zG1ciOZU/n86K42kbZASZ5B05Xyr533dCx0f52wWFXbbNL4+PQoUNYunQpzGYzQkJCMG/ePCQlJdmjKkRERERE1E3s0vjIyMhARkaGPYomIiIiIuoySk955q2ddPujdomIiIiI6LfJLj0fRERERES/Rrzno23s+SAiIiIiom7BxgcREREREXULDrsiIiIiIuokHHbVNvZ8EBERERFRt2DPBxERERFRJ2HPR9s0NT5MJhNycnKazZ84cSLy8/M7rVKXMpvNWLhwITZv3owTJ04gICAAcXFxWLJkCby8vGzL7dy5EwsWLMA333wDRVEwYsQI/OMf/8DQoUM7XFaAMNOpNLuzY1OdKO6nakdZgQJDfGRZ2F0cZFlL6wT7pI97P1FZhytOieK+LJbtk4l9Ze/3mVrtnZRnz8s6Nn11soN5sI9eFPd1ifbjZLBvg6isE1Wy80aa4by/hywrsZOD9uzC616WZSqPfapWFJed4iaKyznsrjkmQC/bjw+FybZNL8zeXt8k+8ZhtmiP89fLztP9ZbLfHCMDZOfcd+e0lzfQU/Z+Owo/Ft8+4iqKiw2RZQ9f8aP2z49gV9nGjesj+xxuEB7Lkvc7uq/ss4N6Ls2fqNHR0Th9+rRqevvtt7uibjZFRUUoKirCsmXL8N133yE7Oxv5+fmYMWOGbZmqqipER0cjJCQEX3/9Nb766it4enpi4sSJqK+v79L6ERERERFR+zQ3PnQ6HYKCglSTj4+P7f+KomD16tWYMmUK3NzcEB4ejry8PNU68vLyEB4eDr1ej6ioKOTk5EBRFJSVlbVY5uDBg/H+++9j8uTJGDhwIG6//XakpKTgww8/REPDhV9j9u/fD7PZjOeeew5GoxHXXXcdFi5ciDNnzuD48eNaN5OIiIiISDMHxX5TT9AlN5wvXrwY8fHx2Lt3L2JiYpCQkACz2QwAKCwsxNSpUxEXF4eCggIkJiYiOTlZcxnl5eUwGAxwcrrQxWc0GuHn54fXXnsNdXV1qK2txWuvvYZrr70WAwYM6MzNIyIiIiIiAc2Njw0bNsDDw0M1paamqpYxmUyYPn06wsLCkJqaiqqqKuzYsQMAsGrVKhiNRqSnp8NoNGLatGkwmUya6lBaWoolS5Zg1qxZtnmenp744osvsGbNGri6usLDwwP5+fn46KOPbA0UIiIiIqKupCj2m3oCzd/Ko6KikJmZqZrn6+ureh0REWH7293dHQaDASUlJQCAAwcOIDIyUrX8iBEjOlx+RUUFJk2ahEGDBmHRokW2+bW1tZgxYwZuueUWvP3222hsbMSyZcswadIk7Ny5E66uzW8os1gssFjUN2NZ6uqh08luJiYiIiIiotZpbny4u7sjLCyszWWcndVf3hVFQVOT8HFQv1BZWYno6Gh4enpi/fr1qnLeeustHDt2DNu3b4eDg4Ntno+PD/79739j2rRpzdaXlpaGxYsXq+Y9vmAannjmvsuuKxERERH99ijMotembt89RqMRu3btUs3buXNnu3EVFRWYMGECXFxckJeXB71e/Wi2mpoaODg4QPlFn9PF1601fJKSklBeXq6aZs+7R7BVRERERETUHs2ND4vFguLiYtVUWlra4fjExETs378f8+fPx8GDB/Huu+8iOzsbAFQNh1+62PCorq7Ga6+9hoqKClvZjY0Xngc+fvx4nDt3Do899hh+/PFHfP/993j44Yfh5OSEqKioFter0+lgMBhUE4dcERERERF1Dc2Nj/z8fAQHB6um0aNHdzg+NDQUubm5WLduHSIiIpCZmWl72pVOp2sxZvfu3fj666+xb98+hIWFqco+efIkAOCaa67Bhx9+iL1792LUqFG49dZbUVRUZKsvEREREVFX4w3nbdN0z0d2dratl6I1VmvzzLCX5u+IjY1FbGys7XVKSgr69u3bbCjVRWPHjm1xvZcaP348xo8f3+5yRERERETU/ezyDNoVK1YgMjISfn5+2Lp1K9LT0zFnzhx7VKUZX51sl+gdfdpfqAXnLGdFcQU/ax8eVt9++61Fvd0qRXF+OndRnGTgW2X9SVFZ7k6ynwnG9akTxTkL77I6UeWoOUbnKHvDT1VrLwsABstOAZSc175TfFyCRGVZ3c+I4pwdZPuy4GfZ9WSQT4PmmH7usod6LP+rhyjO9Odzorgtr2iv59la2YkT6CrbJyeqZOWFeMiOk+0l2o+TPm6iosRJyKrqZYFbz2i/og/0bBSV9fVZ2bDp0zWya16gq+xN+MPVNZpjXj/Y/ImdHVHXJHvfQtxl14W/7dVe3mAf2XeMa7xFYd2itdsI6AK7ND4OHTqEpUuXwmw2IyQkBPPmzUNSUpI9qkJERERERN3ELo2PjIwMZGRk2KNoIiIiIiKyE6b+JiIiIiLqJBx11TamQSEiIiIiom7Bng8iIiIiok7Cno+2seeDiIiIiIi6BXs+iIiIiIg6CXs+2saeDyIiIiIi6haaGh8mkwmKojSboqOju6p+NomJiRg4cCBcXV0REBCAu+66C/v371ctc+LECUyaNAlubm4IDAzE008/jYYG7cm6iIiIiIio82kedhUdHY2srCzVPJ1O12kVas3w4cORkJCAkJAQmM1mLFq0CBMmTEBhYSEcHR3R2NiISZMmISgoCNu2bcPp06fx4IMPwtnZGampqR0up1bYWLFaS0VxNcK20XD/es0xxcIswdKs3BX11aI4Hxc/zTEuDrJK6hwrRHFnBBnHAcBJmCk72E17xt8S4ft9Sy/txxYAWIWjOAcLsnnXNJSIyjJbZH3h0nMgMkC2Lw0u2o8T6fm9xyzLCv3Pf8hS2j/wiafmmGlG7RmhAeAab9l5Wlkvy7ANyDKqezhpf7+PV4mKEtM7yq5dvx9wXnOMh7OsrD6C6yQAeLvI3rfKetkHeFmd9uvQEMF1EpAPbzlXJ8s6/mCY9nNOtvevbA4cdtUmzcelTqdDUFCQavLx+b8PIUVRsHr1akyZMgVubm4IDw9HXl6eah15eXkIDw+HXq9HVFQUcnJyoCgKysrKWi131qxZGDNmDAYMGIAbbrgBS5cuxcmTJ3Hs2DEAwObNm/HDDz9gzZo1uP7663HnnXdiyZIlePnll1FXV6d1M4mIiIiIqJN1yT0fixcvRnx8PPbu3YuYmBgkJCTAbDYDAAoLCzF16lTExcWhoKAAiYmJSE5O1rT+6upqZGVlITQ0FP369QMAbN++HUOGDEGvXr1sy02cOBEVFRX4/vvvO2/jiIiIiIha4aDYb+oJNDc+NmzYAA8PD9V06bAmk8mE6dOnIywsDKmpqaiqqsKOHTsAAKtWrYLRaER6ejqMRiOmTZsGk8nUobJXrFhhK/Ojjz7Cli1b4OLiAgAoLi5WNTwA2F4XFxdr3UwiIiIiIupkmgdpR0VFITMzUzXP19dX9ToiIsL2t7u7OwwGA0pKLozRPnDgACIjI1XLjxgxokNlJyQkYPz48Th9+jSWLVuG+Ph4bN26FXq9XutmAAAsFgssFot6XmM9dDrZGGgiIiIiImqd5p4Pd3d3hIWFqaZLGx/Ozuov74qioKnp8m8p8vLyQnh4OMaMGYPc3Fzs378f69evBwAEBQXhzJkzquUvvg4KCmpxfWlpafDy8lJNLy1777LrSURERES/TQ6K1W6TVi+//DIGDBgAvV6PkSNH2kYqteedd96BoiiIi4vTXGa35/kwGo3YtWuXat7OnTs1r8dqtcJqtdp6LkaNGoV9+/bZelgAYMuWLTAYDBg0aFCL60hKSkJ5eblq+tNT92iuCxERERFRT7J27VrMnTsXCxcuxO7duzF06FBMnDhR9V26JceOHcNTTz2FW2+9VVSu5saHxWJBcXGxaiot7fhjZhMTE7F//37Mnz8fBw8exLvvvovs7GwAF3pIWnL06FGkpaXhm2++wYkTJ7Bt2zbcc889cHV1RUxMDABgwoQJGDRoEB544AEUFBTg448/xrPPPovHHnus1UcB63Q6GAwG1cQhV0REREQk1VNuOF++fDlmzpyJhx9+GIMGDcLKlSvh5uaG119/vdWYxsZGJCQkYPHixbjqqqtk+0drQH5+PoKDg1XT6NGjOxwfGhqK3NxcrFu3DhEREcjMzLQ97aq1RoJer8eXX36JmJgYhIWF4d5774Wnpye2bduGwMBAAICjoyM2bNgAR0dHjBo1Cvfffz8efPBBPPfcc1o3kYiIiIiox7FYLKioqFBNl97fDAB1dXX45ptvMG7cONs8BwcHjBs3Dtu3b291/c899xwCAwMxY8YMcR013XCenZ1t66VojdXafLzZpfk7YmNjERsba3udkpKCvn37tnrjeO/evbFp06Z269e/f/8OLUdERERE9GuTlpaGxYsXq+YtXLgQixYtUs0rLS1FY2Nji0+K3b9/f4vr/uqrr/Daa69hz549l1VHWUriy7RixQpERkbCz88PW7duRXp6OubMmWOPqjTj6tS9GXE9BZmMAeB4lfaHOUuzNEuzcusdXUVxx6rMmmOCZEVB79hyb1t7FEWWbVYnO7zw83nt7/dAg+yYrBUmd3Z1kmXzrm7Qvm3nG2UPsKiql50EPjrZOVBeJyvPxVH79p0X7EcAOFIhG2oa4SN7vwM9te/LukbZtv1QJjuYjd6yuEbZYSK6SdRb+NlR5yY7d6TbVlWv/b2rEWY4l1xLAKBWGCf9bHztgIfmmCBX2WfO6CBZkuWTVbIPq+Ja7de8yADZ5/CVrNtvqP6FpKQkzJ07VzWvtZFFWlRWVuKBBx7Aq6++Cn9//8tal10aH4cOHcLSpUthNpsREhKCefPmISkpyR5VISIiIiL6VdDpdB1qbPj7+8PR0bHFJ8W29JTYI0eO4NixY5g8ebJt3sUn2To5OeHAgQMYOHBgh+pol8ZHRkYGMjIy7FE0EREREVGXkfRmdjcXFxcMHz4cn376qe1xuU1NTfj0009bHI10zTXXYN++fap5zz77LCorK/Hiiy+iX79+HS7bLo0PIiIiIiKyn7lz5+Khhx7CjTfeiBEjRuCFF15AdXU1Hn74YQDAgw8+iD59+iAtLQ16vR6DBw9WxXt7ewNAs/ntYeODiIiIiKiTaH3krb3ce++9OHv2LP7617+iuLgY119/PfLz8203oZ84cQIODp1/BwsbH0REREREv0Fz5sxp9aFPX3zxRZux7T0BtzX2vCGfiIiIiIh+Q9jzQURERETUSfjLftu4f4iIiIiIqFuw54OIiIiIqJP0lBvO7UVT48NkMiEnJ6fZ/IkTJyI/P7/TKtWSxMREfPLJJygqKoKHhwduvvlm/P3vf8c111wDACgoKMDf/vY3fPXVVygtLcWAAQMwe/ZsPPHEE5rK+bFM9mzmQL0oDBXCDMjHBdlHD1fI2pq93WTZfj2czwvjtMecqRVmd66UZfvdX+YiirsnVLZPDpZrf+9O1ciOZXcnWVxsf1nG009PlWmOeejqWlFZGd97iuKeuK5SFJd3QnZheCBM+/bphe9bfw9ZpnIXWQJkmMKrNMc8Oum/orLG/79IUZyLgyzr+4kq2bXyxzLt53ewmyxz9cr97qK46D6ya9dpQcbr0zWy63KlIJs6AHx9Vpb9eXSQ7Ny5xkt7XG2jbNtKBPsfAMIMsutJ7jHt586YoBpRWZ6y05SuAJqveNHR0cjKylLN64y07e0ZPnw4EhISEBISArPZjEWLFmHChAkoLCyEo6MjvvnmGwQGBmLNmjXo168ftm3bhlmzZsHR0bHVu/iJiIiIiKj7aG586HS6FtOuX6QoCl599VVs3LgRH3/8Mfr06YPnn38esbGxtmXy8vIwb948nDx5EqNGjYLJZILJZMK5c+dsCUsuNWvWLNvfAwYMwNKlSzF06FAcO3YMAwcOxB/+8AfV8ldddRW2b9+OdevWsfFBRERERN1C6QEZzu2pS244X7x4MeLj47F3717ExMQgISEBZrMZAFBYWIipU6ciLi4OBQUFSExMRHJysqb1V1dXIysrC6GhoW2mcy8vL4evr+9lbQsREREREXUOzY2PDRs2wMPDQzWlpqaqljGZTJg+fTrCwsKQmpqKqqoq7NixAwCwatUqGI1GpKenw2g0Ytq0aTCZTB0qe8WKFbYyP/roI2zZsgUuLi2Pvd+2bRvWrl2r6jEhIiIiIupKDor9pp5A87CrqKgoZGZmquZd2rsQERFh+9vd3R0GgwElJSUAgAMHDiAyUn0T4IgRIzpUdkJCAsaPH4/Tp09j2bJliI+Px9atW6HXq2/q/O6773DXXXdh4cKFmDBhQqvrs1gssFgsqnl1lnq46HgXExERERFRZ9Pc8+Hu7o6wsDDVdGnjw9lZ/eVdURQ0NcmeXvFLXl5eCA8Px5gxY5Cbm4v9+/dj/fr1qmV++OEH3HHHHZg1axaeffbZNteXlpYGLy8v1fTGP9+97HoSERER0W+Tgx2nnqDb62k0GrFr1y7VvJ07d2pej9VqhdVqVfVcfP/994iKisJDDz2ElJSUdteRlJSE8vJy1fTg4/Ga60JERERERO3TPOzKYrGguLhYvRInJ/j7d+wZ/4mJiVi+fDnmz5+PGTNmYM+ePcjOzgZwoYekJUePHsXatWsxYcIEBAQE4KeffsLf/vY3uLq6IiYmBsCFoVa33347Jk6ciLlz59rq6OjoiICAgBbXq9Ppmj0m2OU8h1wREREREXUFzT0f+fn5CA4OVk2jR4/ucHxoaChyc3Oxbt06REREIDMz0/a0q9byhej1enz55ZeIiYlBWFgY7r33Xnh6emLbtm0IDAwEAOTm5uLs2bNYs2aNqm6X3l9CRERERNRVHBSr3aaeQFPPR3Z2tq2XojVWa/MNLysrU72OjY1V5f1ISUlB3759m904flHv3r2xadOmNstdtGgRFi1a1OYyRERERERkP4q1pdZCF1uxYgUiIyPh5+eHrVu34k9/+hPmzJmDpUuXdndVmjlTm9et5VkaZc9Fk8RJk95In9zmp3cUxR2r1P5wgn7usgca/FQju+3J07l7T5smQXHnLLJtc3KQbVtvN9l7cKJK+3FylWejqKxCQVkAYJEVBxfhXXUBeu37slZ4LdlfJtsn4V6ynVIsOOf2nZMNh13535Z709uz48FaUVzp+TpRXCsjjtskvWHzXJ3sODEIr3nVDdrLKz0v27pAV9k1SP4ZJyvvSIX2c66yXrZPwg0NojjJMQnI3jujl+wa5OUSLYrrDvf/5z92K3vNbbfZreyO0nzPR2c4dOgQli5dCrPZjJCQEMybNw9JSUn2qAoREREREXUTuzQ+MjIykJGRYY+iiYiIiIjITuzS+CAiIiIi+jXqKfk27IX7h4iIiIiIugV7PoiIiIiIOomD9CkGvxHs+SAiIiIiom7Bng8iIiIiok7SU5L92Qt7PoiIiIiIqFuw8UFERERERN1C07Ark8mEnJycZvMnTpyI/Pz8TqtUSxITE/HJJ5+gqKgIHh4euPnmm/H3v/8d11xzTbNlf/75ZwwdOhSnTp3CuXPn4O3t3eFyGq2yu4Sk9xbVCLK/AoBFkFjVT5bsF1X10izsssyqekftbWJLk6yO7k6yrlFJxnFA/n47CsJcHGWVdJMlm4XOUZaFOshN+3Eifb89hO+3k/AE//cJvSjugTDtGba9Xbq3m1+6TyQ3Yt7e2yIqq/R62e9rlfWyTOV1wuNS8s75C7Nrlwuv59KM15ZG7YH93GXbVlgle7/7uMnKswq/L5yu0X6RHeZXLypLJ7yel9TK9qWb4BpbXifbNi8XUVi34A3nbdN8dEVHR+P06dOq6e233+6KuqkMHz4cWVlZ+PHHH/Hxxx/DarViwoQJaGxsbLbsjBkzEBER0eV1IiIiIiKijtPc+NDpdAgKClJNPj4+tv8rioLVq1djypQpcHNzQ3h4OPLy8lTryMvLQ3h4OPR6PaKiopCTkwNFUVBWVtZqubNmzcKYMWMwYMAA3HDDDVi6dClOnjyJY8eOqZbLzMxEWVkZnnrqKa2bRkRERER0WRzsOPUEXVLPxYsXIz4+Hnv37kVMTAwSEhJgNpsBAIWFhZg6dSri4uJQUFCAxMREJCcna1p/dXU1srKyEBoain79+tnm//DDD3juuefwxhtvwMGhp7wFRERERES/DZq/oW/YsAEeHh6qKTU1VbWMyWTC9OnTERYWhtTUVFRVVWHHjh0AgFWrVsFoNCI9PR1GoxHTpk2DyWTqUNkrVqywlfnRRx9hy5YtcHG5MOjPYrFg+vTpSE9PR0hISIfWZ7FYUFFRoZosFtnYQyIiIiIiapvmxkdUVBT27NmjmmbPnq1a5pf3W7i7u8NgMKCkpAQAcODAAURGRqqWHzFiRIfKTkhIwLfffov//Oc/uPrqqxEfH4/z588DAJKSknDttdfi/vvv7/C2pKWlwcvLSzX9a9l7HY4nIiIiIvolB8Vqt6kn0Jxk0N3dHWFhYW0u4+ysfuqNoihoapI9TeKXLjYQwsPDcdNNN8HHxwfr16/H9OnT8dlnn2Hfvn3Izc0FAFitF94Af39/JCcnY/Hixc3Wl5SUhLlz56rm/dz4yWXXk4iIiIiImuv2DOdGoxGbNm1Szdu5c6fm9VitVlitVlgsFx7B+P7776O29v8eT7lz50784Q9/wJdffomBAwe2uA6dTgedTv382aoa2eNCiYiIiIj4qN22aW58WCwWFBcXq1fi5AR/f/8OxScmJmL58uWYP38+ZsyYgT179iA7OxvAhR6Slhw9ehRr167FhAkTEBAQgJ9++gl/+9vf4OrqipiYGABo1sAoLS0FAFx77bWa8nwQEREREVHX0HzPR35+PoKDg1XT6NGjOxwfGhqK3NxcrFu3DhEREcjMzLQ97erSXoiL9Ho9vvzyS8TExCAsLAz33nsvPD09sW3bNgQGBmrdBCIiIiKiLuGg2G/qCRTrxZsj7CglJQUrV67EyZMn7V0VVNV/IYprrdemPZX15aK445Xa05ZmHXITlfXs9VWiOE9nWfpRvaNP+wtdor5JVscztdWiuHphJmNXYYbtn6q1PzpamqG2n4fs/iyjlyyb9/YS7dmrbwqUHVu7zsoyV4d7NU9m2hF7zbKRrZEB2p+6VyQ4RgCgQZileZ9w2ySZmg9XyMoa30cUhrVHZfvk3qtk5/eRCu3Hl154LZEeJ72FWce3n9E+lPm2YNl5mlsouwYZvRpEceP7tPyDaXsOV9RojqkVZIoHgL7C983bRfZ94fWD2o/l3w/Q/hkAAP3cJ4viusOc7Z/brex/jYqyW9kd1e33fAAXHpkbGRkJPz8/bN26Fenp6ZgzZ449qkJERERERN3ELo2PQ4cOYenSpTCbzQgJCcG8efOQlJRkj6oQEREREXUaprlum10aHxkZGcjIyLBH0UREREREZCd2aXwQEREREf0a9ZRkf/bCniEiIiIiIuoWbHwQEREREVG34LArIiIiIqJO0lPybdgLez6IiIiIiKhbsOeDiIiIiKiT8Jf9tmnaPyaTCYqiNJuio6O7qn42iYmJGDhwIFxdXREQEIC77roL+/fvb7ZcdnY2IiIioNfrERgYiMcee6zL60ZERERERO3T3PMRHR2NrKws1TydTtdpFWrN8OHDkZCQgJCQEJjNZixatAgTJkxAYWEhHB0dAQDLly/H888/j/T0dIwcORLV1dU4duxYl9cNABqtdaI4R+G4QFcn7Y9xS7uxWlSWi6OXKK64plwU189D+28GRTU1orJ6ubqI4moaZO93fZMoDMFu2gPDvRpFZVmFTwi0QhYY6qF92yyNsvf7Wm/ZCSd9bOJ13g2iOBcHZ80xTg6y99tFuG23BsnOgZoG7e/BTYH1orIA7fsRAFbvcxfFxfQ7J4rzcNa+T+qE15LrfGTHSXmd7NyZMsCiOUYn/My5J7RCFGdpkm1bZb3sM7WXq/aYuibZeSq9ntc3ybbtrhDe7ADwno/2aP6Wp9PpEBQUpJp8fHxs/1cUBatXr8aUKVPg5uaG8PBw5OXlqdaRl5eH8PBw6PV6REVFIScnB4qioKysrNVyZ82ahTFjxmDAgAG44YYbsHTpUpw8edLWuDh37hyeffZZvPHGG7jvvvswcOBAREREIDY2VusmEhERERFRF+iSYWmLFy9GfHw89u7di5iYGCQkJMBsNgMACgsLMXXqVMTFxaGgoACJiYlITk7WtP7q6mpkZWUhNDQU/fr1AwBs2bIFTU1NOHXqFK699lr07dsX8fHxOHnyZKdvHxERERERaae58bFhwwZ4eHioptTUVNUyJpMJ06dPR1hYGFJTU1FVVYUdO3YAAFatWgWj0Yj09HQYjUZMmzYNJpOpQ2WvWLHCVuZHH32ELVu2wMXlwrCZo0ePoqmpCampqXjhhReQm5sLs9mM8ePHo65ONjyAiIiIiEgLRbHabeoJNN/zERUVhczMTNU8X19f1euIiAjb3+7u7jAYDCgpKQEAHDhwAJGRkarlR4wY0aGyExISMH78eJw+fRrLli1DfHw8tm7dCr1ej6amJtTX1+Of//wnJkyYAAB4++23ERQUhM8//xwTJ05stj6LxQKLRT0etd6hDjqd7D4AIiIiIiJqneaeD3d3d4SFhammSxsfzs7qm/wURUFTk/DuuF/w8vJCeHg4xowZg9zcXOzfvx/r168HAAQHBwMABg0aZFs+ICAA/v7+OHHiRIvrS0tLg5eXl2p6/u9vXXY9iYiIiOi3yUGx39QTdPujiI1GI3bt2qWat3PnTs3rsVqtsFqttp6LW265BcCFnpWLzGYzSktL0b9//xbXkZSUhPLyctU0b/59mutCRERERETt09z4sFgsKC4uVk2lpaUdjk9MTMT+/fsxf/58HDx4EO+++y6ys7MBXOghacnRo0eRlpaGb775BidOnMC2bdtwzz33wNXVFTExMQCAq6++GnfddReeeOIJbNu2Dd999x0eeughXHPNNYiKimpxvTqdDgaDQTVxyBURERERUdfQ3PjIz89HcHCwaho9enSH40NDQ5Gbm4t169YhIiICmZmZtqddtZYvRK/X48svv0RMTAzCwsJw7733wtPTE9u2bUNgYKBtuTfeeAMjR47EpEmTcNttt8HZ2Rn5+fnNhoEREREREXUFBztOPYGmG86zs7NtvRStsbaQ0ebS/B2xsbGq/BspKSno27cv9Hp9i+vs3bs3Nm3a1G79DAYDXnvtNbz22mvtLktERERERN1L89OuOsOKFSsQGRkJPz8/bN26Fenp6ZgzZ449qtJMXVOlKM7FwVMUpxOmOP/2Z+1ZavN/krWJZ11TJYrr4x4gimuyas8K3cddtv9baix3RFW9LONygKujKO7zIu0xJ6plZQW7yh4O8bsQQdpeAP+vWPux/EC4n6isz4rOiuJ8dbJ9ss8su8SOCdJ+fPnpZMfy/x5u+Uef9gS7yfbJcH/t2/b+sZZ7xdszy+ghisuP7fhQ4l86XSO7xpYJsodf4yXLVP7Bcdm+nNhX9sj6dEG2+BlXyzKVn7PI9v/bR2XXrn9Eyq5D+85pzz/23TnZCI7YENl1wc2plygu66D2cychrFZU1pXMoYc88tZe7NL4OHToEJYuXQqz2YyQkBDMmzcPSUlJ9qgKERERERF1E7s0PjIyMpCRkWGPoomIiIiIukxPeeStvfSUe1OIiIiIiKiHY+ODiIiIiIi6hV2GXRERERER/Rpx2FXb2PNBRERERETdgj0fRERERESdRPag+98O9nwQEREREVG3YOODiIiIiIi6haZhVyaTCTk5Oc3mT5w4Efn5+Z1WqZYkJibik08+QVFRETw8PHDzzTfj73//O6655hrbMjt37sSCBQvwzTffQFEUjBgxAv/4xz8wdOjQDpdzziKrn69OlgW8ySrLEtzw/7V373FRVXv/wD/DbYCB4aoOqSQKjpqiXdBMK8kLiKV4NBP1GEaJ59GeHrWOztHyUIIVKVaPoud4QTO7mZ2Q06Fjip1SSzMBMzU1vKTiDRG5OCCs3x/+nKctF9mrYY/Q5+1rv17O3nvt71p71p5hzb58a9Rnqa2RTLh5tVp9xvHr8eSySV+TyDru4aw+iy4A/POEXKby1h5y43ajm1y8M+Xqs1DL3vB24apc22qEXNtcJMJVXLsoFeu8ZNsOFMtdobpRMnPyQ6Zi1WVOlsm1rbJarqOckoxn9lEfr7BC7iKGg5eLpMr5uMntky9Ou0mVa+Wu/nvA5CH33VEt+T2w54LcMfDTZfX7pLjyqlSs05IZ5g9I1BEAyqvlvuPcJbpzkVWuT16ulMtMb5D5YAZQXKm+nlcq5WKZ5D5eNcEM5w1T/Y5HR0fjzJkzium9995rirop3HvvvVi9ejUOHDiAzz//HEIIDBkyBNXV1QCA0tJSREdHIzg4GN9++y2+/vpreHt7IyoqClVVcn8UERERERGR/agefOj1ephMJsXk5+dnW67T6bBixQqMHDkSnp6eCAsLQ2ZmpmIbmZmZCAsLg7u7OyIjI7FmzRrodDoUFxfXG3fy5Ml46KGH0KFDB9xzzz2YP38+Tp48iWPHjgEADh48iKKiIrz88sswm8246667MG/ePJw9exbHjx9X20wiIiIiItWcdI6bmoMmuecjKSkJY8aMQX5+PmJiYjB+/HgUFV0//V1QUIDRo0cjNjYWeXl5SExMxJw5c1Rtv6ysDKtXr0ZISAjat28PADCbzQgICMDKlStRWVmJiooKrFy5El27dkWHDh3s3UQiIiIiIlJJ9eAjKysLXl5eiiklJUWxTnx8POLi4hAaGoqUlBSUlpZi165dAIDly5fDbDYjNTUVZrMZY8eORXx8fKNiL1261BbzX//6FzZv3gw3t+vXanp7e2Pbtm1Yt24dPDw84OXlhezsbPzrX/+Ci0vd16parVaUlJQoJquVl2gRERERETUF1YOPyMhI5ObmKqYpU6Yo1gkPD7f932AwwGg04ty5cwCAQ4cOISIiQrF+7969GxV7/Pjx2Lt3L7788kt07twZY8aMwdWr129Mq6ioQEJCAvr164dvvvkG27dvR/fu3TFs2DBUVFTUub0FCxbAx8dHMS1b9FGj9wURERER0a/xsquGqX58hcFgQGhoaIPruLq6Kl7rdDrU1Mg9mePXbgwQwsLCcP/998PPzw+ffPIJ4uLisH79ehw7dgw7d+6Ek9P1MdX69evh5+eHTz/9FGPHjq21PYvFghkzZijm/WL94jfXk4iIiIiIatM8w7nZbMZnn32mmLd7927V2xFCQAgBq/X6s3HLy8vh5OQEne7/hn03Xtc38NHr9dDrlY+s1Ze41rkuEREREdGtODeTMxCOovqyK6vVisLCQsV04cKFRpdPTEzEwYMHMWvWLPz000/48MMPkZGRAQCKgcOv/fzzz1iwYAH27NmDEydOYMeOHXj88cfh4eGBmJgYAMDgwYNx6dIlTJ06FQcOHMD+/fsxadIkuLi4IDIyUm0ziYiIiIjIzlQPPrKzsxEUFKSY+vfv3+jyISEh2LBhAzZu3Ijw8HCkp6fbnnZ181mIG9zd3fHVV18hJiYGoaGheOKJJ+Dt7Y0dO3agdevWAIAuXbpg06ZNyM/PR9++ffHggw/i9OnTtvoSERERETU13vPRMJ0QEumk7Sw5ORnLli3DyZMnHV0VXLJmSZXzdGktVa60qlCqXF6R+ivmLktkHgWAewLlMpz76eXSj7rqPFWXqay5IhVLQO5epIprcvvEw0UuU3OeREJvg6vcoV0i2U/uayWXJTjntPonzA1u6yUV6+uzcv3EXy+3L7dKZrweEKQ+K3GgRJZsAPi5RK5PBnvJxfOS6JdfF8pdDju0vVy5X8rqfkjJraQfMEiVmxhWrrqMm5Ncn9x9Xm6ftPeqlip35LL676rRHeUynNdI/jWzscBdqlw/k2z2cPUVPVshlxkhzEfuffNxNUmVO1xyTnWZdga5tvm6xUiV00LaD5sdFnt698EOi91Ymt/zAVx/ZG5ERAQCAgKwfft2pKamYtq0aY6oChERERERacQhg4/Dhw9j/vz5KCoqQnBwMGbOnAmLxeKIqhARERER2Y2TzuEXFd3WHDL4SEtLQ1pamiNCExERERGRgzhk8EFERERE1BI1lxu/HUXuLh8iIiIiIiKVOPggIiIiIiJN8LIrIiIiIiI7kXuA+e8Hz3wQEREREZEmeOaDiIiIiMhOeMN5w1Sd+YiPj4dOp6s1RUdHN1X9ahFCYOjQodDpdPjHP/6hWHbixAkMGzYMnp6eaN26NV544QVck8xETURERERE9qX6zEd0dDRWr16tmKfX6+1WoVtZvHgxdLraQ8rq6moMGzYMJpMJO3bswJkzZzBx4kS4uroiJSWl0ds/VipXL4PLOalyTnW0pTG8XNUnsDG4yCW9Kb8mV8drNRVS5QD15S5clbuC8A5DjVS5y5Vy+0RfJRfPzVl9PF83uVg+rnJtE6JaqlxnH/XlCq5clopVI+SuxC2rkiqG+wLlCt7hqf69O1kmdwyEeMu9bwaJzyAA8HLxUl2mRlRKxTpbUS5VLsQ7UKrcuaty73e1xKEqJC+a3nzaQ6pcVFu5z/Mh7ayqy2w95SYV607Jvjy4rVz/CnCX+4wtkfj+aOUud7y5SP6NUVF9Qaqcv159PS9Xyr1vvnLdRBNMMtgw1R9fer0eJpNJMfn5+dmW63Q6rFixAiNHjoSnpyfCwsKQmZmp2EZmZibCwsLg7u6OyMhIrFmzBjqdDsXFxQ3Gzs3NxcKFC7Fq1apay/7973/jxx9/xLp169CrVy8MHToUr7zyCpYsWYLKSrkPFiIiIiIisp8mueE8KSkJY8aMQX5+PmJiYjB+/HgUFRUBAAoKCjB69GjExsYiLy8PiYmJmDNnzi23WV5ejnHjxmHJkiUwmUy1lu/cuRM9evRAmzZtbPOioqJQUlKC/fv3269xREREREQkRfXgIysrC15eXorp5sua4uPjERcXh9DQUKSkpKC0tBS7du0CACxfvhxmsxmpqakwm80YO3Ys4uPjbxl3+vTpeOCBBzBixIg6lxcWFioGHgBsrwsLC9U2k4iIiIhINWed46bmQPU9H5GRkUhPT1fM8/f3V7wODw+3/d9gMMBoNOLcuev3RBw6dAgRERGK9Xv37t1gzMzMTGzduhV79+5VW90GWa1WWK3K61ErrVVw07vaNQ4REREREUmc+TAYDAgNDVVMNw8+XF2Vf7zrdDrU1MjdmAUAW7duxdGjR+Hr6wsXFxe4uFwfM40aNQoDBgwAAJhMJpw9e1ZR7sbrui7TAoAFCxbAx8dHMa1a/JF0PYmIiIjo981J57ipOdA8yaDZbMZ3332nmLd79+4Gy8yePRv5+fnIzc21TQCQlpZme/JW3759sW/fPtsZFgDYvHkzjEYjunXrVud2LRYLLl++rJie+p/Hf0PriIiIiIioPqovu7JarbXuoXBxcUFgYOMeTZiYmIhFixZh1qxZSEhIQG5uLjIyMgCgzkfoArA9VetmwcHBCAkJAQAMGTIE3bp1wx//+Ee8/vrrKCwsxNy5czF16tR6HwWs1+trLXOr4iVXRERERERNQfWZj+zsbAQFBSmm/v37N7p8SEgINmzYgI0bNyI8PBzp6em2p139lnwhzs7OyMrKgrOzM/r27YsJEyZg4sSJePnll6W3SURERESkBi+7apiqMx8ZGRm2sxT1EaJ2YpWb83cMHz4cw4cPt71OTk5Gu3bt4O7u3ui61BXnzjvvxGeffdbobRARERERkXZUX3ZlD0uXLkVERAQCAgKwfft2pKamYtq0aY6oSi0BEtk5AcBf7y1V7lipXEr1J95QX88RIz2lYk3uIpclOMjTV6qctVp99moPF7kHGtRIJiEtq5L7eeEOiWzeABA14CfVZZ59p6dUrDYecnV8omNbqXKrfzp365VuMu8euUzlR0rk+vLaIwapcv56uX45pUuZ6jJmyb71/QW5r4F9l+QuUR1xp/q2FVfKnRVv4yH3mXe1+pJUueR75d6DQQ8fUF1m184uUrGe6iz3ndPOINeXX/reqLrMK/eUSMX6+qxcyuuFJ+Wyvn8YGSBV7sszJ1SXqaiW+855oHWVVLlWHl5S5f5zRv1nbA//a1KxbmfN5QyEozhk8HH48GHMnz8fRUVFCA4OxsyZM2GxWBxRFSIiIiIi0ohDBh9paWlIS0tzRGgiIiIioibjrJO8rOJ3QvNH7RIRERER0e8TBx9ERERERKQJh1x2RURERETUEvGX/YZx/xARERERkSZ45oOIiIiIyE74qN2G8cwHERERERFpgoMPIiIiIiLShE4I0eiHEcfHx2PNmjW15kdFRSE7O9uuFauPEAIxMTHIzs7GJ598gtjYWABAXl4eXn31VXz99de4cOECOnTogClTpuC5555Ttf0TpZuk6lVklTvHdu6q3PjP1039M6TPVsjFCvGWy9rbVi65MC5a1bfNKLE/AKBcMlP5qXK5fekmOdy/IlHPDpLvW7FVrpJhPu5S5Q4WX1VdprWHXLZl2WzestmdL0ruy26+6jP+yh7fHi5yx45sX/ZyVR/v8GW5jPbtDHLHgOwT+o+UyPWvQHf1/WvGTl+pWC/0lMseLvMZBAAuEsXaSB7fslnAvV3l4rX1lCtXIrEvZY6b36Ktp0mq3M9Xzqou4+Es17YO3o9JldPChgJt/iauy+iQaIfFbizVn5TR0dFYvXq1Yp5er7dbhW5l8eLF0OlqH7h79uxB69atsW7dOrRv3x47duzA5MmT4ezsjGnTpmlWPyIiIiIiqpvq3670ej1MJpNi8vPzsy3X6XRYsWIFRo4cCU9PT4SFhSEzM1OxjczMTISFhcHd3R2RkZFYs2YNdDodiouLG4ydm5uLhQsXYtWqVbWWPfXUU3jzzTfx8MMPo2PHjpgwYQImTZqEjRs3qm0iEREREZEUZ51w2NQcNMk9H0lJSRgzZgzy8/MRExOD8ePHo6ioCABQUFCA0aNHIzY2Fnl5eUhMTMScOXNuuc3y8nKMGzcOS5YsgcnUuNOBly9fhr+//29qCxERERFRS7RkyRJ06NAB7u7u6NOnD3bt2lXvun//+9/x4IMPws/PD35+fhg0aFCD69dH9eAjKysLXl5eiiklJUWxTnx8POLi4hAaGoqUlBSUlpbaKrd8+XKYzWakpqbCbDZj7NixiI+Pv2Xc6dOn44EHHsCIESMaVc8dO3bggw8+wOTJk+tdx2q1oqSkRDFZrVWN2j4RERER0c2cdI6b1Pjggw8wY8YMzJs3D99//z169uyJqKgonDt3rs71t23bhri4OOTk5GDnzp1o3749hgwZglOnTqnbP+qqCURGRiI3N1cxTZkyRbFOeHi47f8GgwFGo9HWkEOHDiEiIkKxfu/evRuMmZmZia1bt2Lx4sWNquMPP/yAESNGYN68eRgyZEi96y1YsAA+Pj6KaenCjxoVg4iIiIiouVq0aBGeeeYZTJo0Cd26dcOyZcvg6elZ5+0NAPDuu+/iv/7rv9CrVy906dIFK1asQE1NDbZs2aIqruobzg0GA0JDQxtcx9XVVfFap9OhpkbuqRAAsHXrVhw9ehS+vr6K+aNGjcKDDz6Ibdu22eb9+OOPGDhwICZPnoy5c+c2uF2LxYIZM2Yo5p2t+kK6nkREREREjmK1WmG1WhXz9Hp9rYdDVVZWYs+ePbBYLLZ5Tk5OGDRoEHbu3NmoWOXl5aiqqlJ9i4PmeT7MZjO+++47xbzdu3c3WGb27NnIz89XnG0BgLS0NMWTt/bv34/IyEg8+eSTSE5OvmVd9Ho9jEajYtLrXW9ZjoiIiIioLo687Kquq3oWLFhQq44XLlxAdXU12rRpo5jfpk0bFBYWNqqds2bNwh133IFBgwap2j+qz3xYrdZalXJxcUFgYGCjyicmJmLRokWYNWsWEhISkJubi4yMDACo8xG6AGxP1bpZcHAwQkJCAFy/1OqRRx5BVFQUZsyYYaujs7MzWrVq1djmERERERE1S3Vd1dMUKTFeffVVvP/++9i2bRvc3dXl+VJ95iM7OxtBQUGKqX///o0uHxISgg0bNmDjxo0IDw9Henq67WlXv2XnbNiwAefPn8e6desUdbv5/hIiIiIioqbiyDMfdV/VU/vv68DAQDg7O+PsWWViyLNnz97yqbJvvPEGXn31Vfz73/9W3OfdWKrOfGRkZNjOUtSnroTpN+fvGD58OIYPH257nZycjHbt2qkaOd0c569//Sv++te/Nrp8faySGVJdJS9g6+4nl4H3lzL1AcskM9TKulot97xpmUyulZLvW9k1uXI+khnVZTO5CokrJCsk23buqlxn7uwjF69cop6yWbldJI9TZ8lDR/b9rpS4Ra6VRJZsQP79rpZsmw7qd+aZcrk6djJqm+HcXy/3HrhIPJvfapWrpex3XKnk94eHRNJ32QznuRflMsxXXJPrXyHecvWsqVRfpqRSbv97yu0SaTL1rFD7iKb/r4O3VDH6/9zc3HDvvfdiy5YtiI2NBQDbzeMNJed+/fXXkZycjM8//xz33XefVGyNu+V1S5cuRUREBAICArB9+3akpqYyCzkRERERkUZmzJiBJ598Evfddx969+6NxYsXo6ysDJMmTQIATJw4EW3btrXdM/Laa6/hpZdewvr169GhQwfbLQ43Um80lkMGH4cPH8b8+fNRVFSE4OBgzJw5U3G3PRERERFRcyR7tlxrTzzxBM6fP4+XXnoJhYWF6NWrF7Kzs203oZ84cQJOTv93ZjA9PR2VlZUYPXq0Yjvz5s1TdfWRQwYfaWlpSEtLc0RoIiIiIiICMG3atHqvPvp1KgsAOHbsmF1iOmTwQURERETUEjlJ3Mf1e6J5ng8iIiIiIvp94pkPIiIiIiI74S/7DeP+ISIiIiIiTXDwQUREREREmuBlV0REREREdiKZN/F3Q9WZj/j4eOh0ulpTdHR0U9WvFiEEhg4dCp1Oh3/84x91rnPx4kW0a9cOOp2uVnZ1IiIiIiJyDNVnPqKjo7F69WrFPL1eb7cK3crixYuh0zU8pExISEB4eDhOnTqlevuyD0fr4O0tVe6StUSq3NkK9VfMfX1O7n0acEelVDlvVx+pcoD6nwxKKi9LRXKVvPBQ9kcNLRMPVdXIlevkXS1VTqdzlipnlainm5O2J20ldyW+v+gqVa6r3zXVZUoq5TpXkVXuIPBxk9srrdzVl5P97BrSTu6zy9XJIFXu23NVUuU6GdW/32sGFUvFGvZcmVS5cf8dIFWutYf693vNEQ+pWD385Pb/+atyx4Ds41T1El8EayX3ydOdy6XKWWuKpcplnVR/rE7rJlfH21lzSTLoKKqPOL1eD5PJpJj8/Pxsy3U6HVasWIGRI0fC09MTYWFhyMzMVGwjMzMTYWFhcHd3R2RkJNasWdOosxS5ublYuHAhVq1aVe866enpKC4uxvPPP6+2aURERERE1ISa5IbzpKQkjBkzBvn5+YiJicH48eNRVFQEACgoKMDo0aMRGxuLvLw8JCYmYs6cObfcZnl5OcaNG4clS5bAZDLVuc6PP/6Il19+GWvXrlWkgyciIiIiIsdT/Rd6VlYWvLy8FFNKSopinfj4eMTFxSE0NBQpKSkoLS3Frl27AADLly+H2WxGamoqzGYzxo4di/j4+FvGnT59Oh544AGMGDGizuVWqxVxcXFITU1FcHCw2mYREREREf1mTjrhsKk5UH3hdGRkJNLT0xXz/P39Fa/Dw8Nt/zcYDDAajTh37hwA4NChQ4iIiFCs37t37wZjZmZmYuvWrdi7d2+961gsFnTt2hUTJkxoVDuA6wMWq9WqmFdprYKbXu46bSIiIiIiqp/qMx8GgwGhoaGK6ebBh6ur8o93nU6HmhrZWzaBrVu34ujRo/D19YWLiwtcXK6PmUaNGoUBAwbY1vnoo49sywcOHAgACAwMxLx58+rc7oIFC+Dj46OYli/6SLqeRERERPT75qRz3NQcaJ7nw2w247PPPlPM2717d4NlZs+ejaeffloxr0ePHkhLS8Njjz0GAPj4449RUVGh2OZTTz2Fr776Cp06dapzuxaLBTNmzFDMO3F1S6PbQkREREREjad68GG1WlFYWKjciIsLAgMDG1U+MTERixYtwqxZs5CQkIDc3FxkZGQAQL2P0L3xVK2bBQcHIyQkBABqDTAuXLgAAOjatSt8fX3r3K5er6/1mGA3wUuuiIiIiEhOczkD4SiqL7vKzs5GUFCQYurfv3+jy4eEhGDDhg3YuHEjwsPDkZ6ebnvalZb5QoiIiIiISFuqznxkZGTYzlLUR4jad9rfnL9j+PDhGD58uO11cnIy2rVrB3d390bXpa44vzZgwIBbrkNERERERNrR/J4PAFi6dCkiIiIQEBCA7du3IzU1FdOmTXNEVWopV59oFgBw8apcpvJKyfvwQySyUMcGV9x6pTr854ybVLk+reX2yZUq9ecr3eWSa6NM8v2WPaXqIZkb3d1Z/UDay1Vu8H2+Qi5Hzh1ySaFxh6f6g+BQsdx+LKuSa5ts9nAXJ7n3wFqtPp7McQMAfpKZyn+4JPf10cFLfdbxbj5ymasvSGau9tXLZQHv4C33QVQt1L9328/K7f/kl3ykyv35n3KXJL87plR1mYdNcpnpz0l+dpnkkoejpFIunl7i8zw2+KpULFfJlGc6yTRwQ9qqr6fscdpG8n3TAjPNNcwhg4/Dhw9j/vz5KCoqQnBwMGbOnAmLxeKIqhARERERkUYcMvhIS0tDWlqaI0ITERERETWZep6fRP8fzwwREREREZEmOPggIiIiIiJNOOSyKyIiIiKilohXXTWMZz6IiIiIiEgTPPNBRERERGQnvOG8YTzzQUREREREmuDgg4iIiIiINKHqsqv4+HisWbOm1vyoqChkZ2fbrVINEUIgJiYG2dnZ+OSTTxAbG6tYnpGRgUWLFuGnn36C0WjE448/jiVLljR6+6095DISe7nKpdostsplHX/niLvqMvuL5TKV//VuuUzlRlfJjMt69W2rqi6XinVVIpM0AJwulxu39/SXS6m+Zr/69OF3+cllhb5olWtbrwC5Y+Czk+qzGf9XV7lsy3svymVODvGulip3tET2ylar6hJGyYz2BZLZhV0kf7qqkNiVWwvVfyYAQHR79fvxt7DKdRN8eUb9Z/PgtnJ9+clN3lLlenaV+6ycn6c+o/q4jnIZ5oskP7vOSR4Dc3rKZbQ/UqI+6/uuC3Kfef1ay30PtPbwlCq39Yz6z6GRd8plb7+d8Zf9hqn+ZoyOjsbq1asV8/R6vd0qdCuLFy+Grp6L6RYtWoSFCxciNTUVffr0QVlZGY4dO6ZZ3YiIiIiIqH6qB2d6vR4mk0kx+fn52ZbrdDqsWLECI0eOhKenJ8LCwpCZmanYRmZmJsLCwuDu7o7IyEisWbMGOp0OxcXFDcbOzc3FwoULsWrVqlrLLl26hLlz52Lt2rUYN24cOnXqhPDwcAwfPlxtE4mIiIiIpOh0wmFTc9AkZ4aSkpIwZswY5OfnIyYmBuPHj0dRUREAoKCgAKNHj0ZsbCzy8vKQmJiIOXPm3HKb5eXlGDduHJYsWQKTyVRr+ebNm1FTU4NTp06ha9euaNeuHcaMGYOTJ0/avX1ERERERKSe6sFHVlYWvLy8FFNKSopinfj4eMTFxSE0NBQpKSkoLS3Frl27AADLly+H2WxGamoqzGYzxo4di/j4+FvGnT59Oh544AGMGDGizuU///wzampqkJKSgsWLF2PDhg0oKirC4MGDUVlZ97WxVqsVJSUlislqlbs+koiIiIhI58CpOVB9z0dkZCTS09MV8/z9/RWvw8PDbf83GAwwGo04d+4cAODQoUOIiIhQrN+7d+8GY2ZmZmLr1q3Yu3dvvevU1NSgqqoKb731FoYMGQIAeO+992AymZCTk4OoqKhaZRYsWICkpCTFvBl/GYuZc8Y1WB8iIiIiIlJP9eDDYDAgNDS0wXVcXZVPZdDpdKipqVEbymbr1q04evQofH19FfNHjRqFBx98ENu2bUNQUBAAoFu3brblrVq1QmBgIE6cOFHndi0WC2bMmKGYd7H6C+l6EhERERFR/TTPcG42m/HZZ58p5u3evbvBMrNnz8bTTz+tmNejRw+kpaXhscceAwD069cPwPUzK+3atQMAFBUV4cKFC7jzzjvr3K5er6/1pK7ScrnH2RERERERMcN5w1QPPqxWKwoLC5UbcXFBYGBgo8onJiZi0aJFmDVrFhISEpCbm4uMjAwAqPcRujeeqnWz4OBghISEAAA6d+6MESNG4LnnnsPf/vY3GI1GWCwWdOnSBZGRkSpaSERERERETUH1DefZ2dkICgpSTP379290+ZCQEGzYsAEbN25EeHg40tPTbU+7+q35QtauXYs+ffpg2LBhePjhh+Hq6ors7Oxal4ERERERETUF3nDeMJ0QwuEPBU5OTsayZctui8fiflX4T6lywV5y97SUX5PrKjKZdI+XymVjbWuQa1trd7ly7i7qu2RBiVzbyiT3fxsPubb56eUOt+JK9fX0dJaLJbtP2hrk3oOLV9VnfXfVOH3svktyV6hek7zV7UGT+n1yplzufXOT3Jd6yf7lp1efOXlDgfr9AQCdfeTK9fCX+yFs7wW5rOPtDOo/0APc5frk+0fljtO7/OSeBHmyTH28eU8cloo1ZXUXqXL928i9b1185faltUZ9vBOS3993ekn8sQCgRvIvwzPl6j9QPCVvAOjs86hcQQ3kF2U5LHa4/+27X27Q/J4PAFi6dCkiIiIQEBCA7du3IzU1FdOmTXNEVYiIiIiISCMOGXwcPnwY8+fPR1FREYKDgzFz5kxYLBZHVIWIiIiIyG6cmsv1Tw7ikMFHWloa0tLSHBGaiIiIiIgcxCGDDyIiIiKilognPhqm8W2bRERERET0e8UzH0REREREdsIkgw3jmQ8iIiIiItIEBx9ERERERKQJXnZFRERERGQnvOqqYarOfMTHx0On09WaoqOjm6p+tQghMHToUOh0OvzjH/9QLNu9ezcGDhwIX19f+Pn5ISoqCnl5eZrVjYiIiIiI6qf6zEd0dDRWr16tmKfX6+1WoVtZvHgxdHXcyVNaWoro6GgMHz4cS5cuxbVr1zBv3jxERUXh5MmTcHV1bdT2q2rkxqulVXLl3CQvfCupVh9vxzk3qVjdfK9JlQtub5UqVy6xLw2uQipW5gl3qXK9W1VKlTO4yNXTQ6ac5GFZdk2uL7voPKTKXa0uVV3GWSe3H3++4ixVrrV7jVS5zafkjrkH2lSpLuMqmdXKSXJfHrwsty87eZerLuOvlztJr5erIs5XVEiVa2eQi3e8VH1FD5fIxXJ1kj125N4DmW755N+7SsVa+up5qXL904xS5a5UqT9Or5dT/8VfJfcRhJMSfQsA7vSqlip3sFh9PwmU/Hzt7CNVTBM889Ew1UeAXq+HyWRSTH5+frblOp0OK1aswMiRI+Hp6YmwsDBkZmYqtpGZmYmwsDC4u7sjMjISa9asgU6nQ3FxcYOxc3NzsXDhQqxatarWsoMHD6KoqAgvv/wyzGYz7rrrLsybNw9nz57F8ePH1TaTiIiIiIjsrEluOE9KSsKYMWOQn5+PmJgYjB8/HkVFRQCAgoICjB49GrGxscjLy0NiYiLmzJlzy22Wl5dj3LhxWLJkCUwmU63lZrMZAQEBWLlyJSorK1FRUYGVK1eia9eu6NChg72bSEREREREKqkefGRlZcHLy0sxpaSkKNaJj49HXFwcQkNDkZKSgtLSUuzatQsAsHz5cpjNZqSmpsJsNmPs2LGIj4+/Zdzp06fjgQcewIgRI+pc7u3tjW3btmHdunXw8PCAl5cXsrOz8a9//QsuLryvnoiIiIianpPOcVNzoPqv8sjISKSnpyvm+fv7K16Hh4fb/m8wGGA0GnHu3DkAwKFDhxAREaFYv3fv3g3GzMzMxNatW7F3795616moqEBCQgL69euH9957D9XV1XjjjTcwbNgw7N69Gx4eta9Ht1qtsFqV9yVUWqvgpm/c/SFERERERNR4qs98GAwGhIaGKqabBx8339yt0+lQUyN5txSArVu34ujRo/D19YWLi4vtTMaoUaMwYMAAAMD69etx7NgxrF69GhEREbj//vuxfv16FBQU4NNPP61zuwsWLICPj49ieu9/P5SuJxERERH9vukcODUHml+PZDab8dlnnynm7d69u8Eys2fPxtNPP62Y16NHD6SlpeGxxx4DcP2eECcnJ8WTsG68rm/gY7FYMGPGDMW8HRdzGt0WIiIiIiJqPNWDD6vVisLCQuVGXFwQGBjYqPKJiYlYtGgRZs2ahYSEBOTm5iIjIwMA6nyELgDbU7VuFhwcjJCQEADA4MGD8cILL2Dq1Kl49tlnUVNTg1dffRUuLi6IjIysc7t6vb7WY4LdSnnJFRERERHJ0Uk+wvz3QvVlV9nZ2QgKClJM/fv3b3T5kJAQbNiwARs3bkR4eDjS09NtT7v6LflCunTpgk2bNiE/Px99+/bFgw8+iNOnT9vqS0REREREjqXqzEdGRobtLEV9hKg92rs5f8fw4cMxfPhw2+vk5GS0a9cO7u6NT/hWV5zBgwdj8ODBjd4GERERERFpxyHPoF26dCkiIiIQEBCA7du3IzU1FdOmTXNEVWrp01ouRa27c4BUuZLKY1LllhxQn0367gC5bKyPSmYq93CR2ye+burPgJVfOycVa3SIXCbjSokM8wBwl59cFvC39qvPNuvrJnfa905vucy2ni6tpcpl/6K+Xz53l1ysfZdOS5WTzcD7s+RlnCdLK1WXucMg9759e06ujt9dkCsX7q8+w7lsdu2+beSO7yuVcse37IUWR0rUZ6Ee01GuT+aclivXw/+aVLnp3/qqLvNaxGWpWHclq48FAOMny2VGP7Cxh1S58munVJd576inVKz/vqtUqpzBtZVUue8vqj/mZveUq+PtrLnc+O0oDhl8HD58GPPnz0dRURGCg4Mxc+ZMWCwWR1SFiIiIiIg04pDBR1paGtLS0hwRmoiIiIioydTz/CT6/1TfcE5ERERERCSDgw8iIiIiItKEQy67IiIiIiJqifjLfsO4f4iIiIiISBM880FEREREZCe84bxhPPNBRERERESa4JkPIiIiIiI74YmPhqkafMTHx2PNmjW15kdFRSE7O9tularLgAED8OWXXyrmJSYmYtmyZbbXJ06cwJ/+9Cfk5OTAy8sLTz75JBYsWAAXl8Y3s+yaXGZVJ8hl+60SctlmJ3VWnyV4/yW5sWbpNbnDSKcrkirnAfWZ0WuEXHbnNnIJx1EqlyweVTXq3zcAiO2gvoxVbpfgbIX6bMsAcKXqpFS5UKP6Y6Ds2hmpWBWSfVk2c3VPf/WZygHgZJn6k9KtPeQ+S9ob5MqZfa5KlfNy8VJdJshDbj/qnfRS5eBmlSr2zmG5D5QRd6rfl4eK5S5cOH9V7ntA9vtjTIj6zzx3Z7kjrmeAXBb2p5OCpMrlnJH7HOrio759ozqozxwOAAF6yc88IfcePGNW/35XyX0EUTOm+tMkOjoaq1evVszT6yU/4FV65pln8PLLL9tee3p62v5fXV2NYcOGwWQyYceOHThz5gwmTpwIV1dXpKSkaFI/IiIiIiKqn+qfTvR6PUwmk2Ly8/OzLdfpdFixYgVGjhwJT09PhIWFITMzU7GNzMxMhIWFwd3dHZGRkVizZg10Oh2Ki4sbjO3p6amIazQabcv+/e9/48cff8S6devQq1cvDB06FK+88gqWLFmCykq5X82IiIiIiNTQ6Rw3NQdNcsN5UlISxowZg/z8fMTExGD8+PEoKrp+CU5BQQFGjx6N2NhY5OXlITExEXPmzGnUdt99910EBgaie/fusFgsKC//v9N7O3fuRI8ePdCmTRvbvKioKJSUlGD//v32bSAREREREammevCRlZUFLy8vxXTzZU3x8fGIi4tDaGgoUlJSUFpail27dgEAli9fDrPZjNTUVJjNZowdOxbx8fG3jDtu3DisW7cOOTk5sFgseOeddzBhwgTb8sLCQsXAA4DtdWFhYZ3btFqtKCkpUUxWq+TF/ERERET0u6dz4NQcqL7nIzIyEunp6Yp5/v7+itfh4eG2/xsMBhiNRpw7dw4AcOjQIURERCjW79279y3jTp482fb/Hj16ICgoCAMHDsTRo0fRqVMntc0AACxYsABJSUmKec/PGYsX5sZJbY+IiIiIiOqnevBhMBgQGhra4DqursonP+l0OtTU2PdxBn369AEAHDlyBJ06dYLJZLKdXbnh7NmzAACTyVTnNiwWC2bMmKGYd1lstms9iYiIiIjoOs2TDJrNZnz33XeKebt371a9ndzcXABAUND1R+T17dsX+/bts51hAYDNmzfDaDSiW7dudW5Dr9fDaDQqJr1e7pG5REREREROOsdNzYHqwYfVakVhYaFiunDhQqPLJyYm4uDBg5g1axZ++uknfPjhh8jIyABw/QxJXY4ePYpXXnkFe/bswbFjx5CZmYmJEyfioYcesl3iNWTIEHTr1g1//OMfkZeXh88//xxz587F1KlTNXsUMBERERER1U/14CM7OxtBQUGKqX///o0uHxISgg0bNmDjxo0IDw9Henq67WlX9Q0S3Nzc8MUXX2DIkCHo0qULZs6ciVGjRmHTpk22dZydnZGVlQVnZ2f07dsXEyZMwMSJExV5QYiIiIiImhJvOG+Yqns+MjIybGcp6lNXVsyb83cMHz4cw4cPt71OTk5Gu3bt4O7uXuc227dvXyu7eV3uvPNOfPbZZ7dcj4iIiIiItKf6hnN7WLp0KSIiIhAQEIDt27cjNTUV06ZNc0RVarl6TW7cqHcqkSp3plzutpvSKvX19NfXHhg2ho+bXDfRSd5SdNF6UXUZL1e5Ol6tviZVrrhSrp9U1ci9BzL9xFfy/a6Q2yXSXCS6SbWQeyS2h4tcP/n+gty9YJXVcv3kLj/1b4LsMZB53Fmq3N2Bcu9BRXX5rVe6Sdk1uf1//qpcgtlAd7l4T3S8KlVO5vju7CN3fNdA7gBv5S730JgjJer7pbtcl8TxUrnvHNm2mTzkyhVcUd9A2e+cC3JdEoHuRVLltpx2U11m4B1yx2kbD6limtDp5I7P3wuHDD4OHz6M+fPno6ioCMHBwZg5cyYsFosjqkJERERERBpxyOAjLS0NaWlpjghNREREREQO4pDBBxERERFRS9Rcbvx2FM3zfBARERER0e8Tz3wQEREREdlJPWnr6P/jmQ8iIiIiItIEBx9ERERERKQJXnZFRERERGQnvOqqYarOfMTHx0On09WaoqOjm6p+NgMGDKgVd8qUKbbleXl5iIuLQ/v27eHh4YGuXbvizTffbPJ6ERERERFR46g+8xEdHY3Vq1cr5un1ertVqCHPPPMMXn75ZdtrT09P2//37NmD1q1bY926dWjfvj127NiByZMnw9nZWVX29Eq5hKWQHecaXOSyYHpKZYCVa1yJ5E6Rzd4e6K6+zLUauay9bpIXHgZKZsS9KpnxOsynWnUZV8m2eUn2ycuVcu/Bgyb1b7i1Wi67dhvJjMSy5Vyd5Pal0U19uaoauX3y2J1y79slq1xf9tOrb9tDJrm2tZLMVF5ZI5dx2dfNS6qcQJnqMuevyu1/H4m+BQAukj/ldvJW/9kl+6txjWRS6ftayfWv0+VyqdhbS3x/eLvKNa5c/e4HAFytlosnsy8vSWZvv53xnoaGqd4/er0eJpNJMfn5+dmW63Q6rFixAiNHjoSnpyfCwsKQmZmp2EZmZibCwsLg7u6OyMhIrFmzBjqdDsXFxQ3G9vT0VMQ1Go22ZU899RTefPNNPPzww+jYsSMmTJiASZMmYePGjWqbSERERERETaBJBmdJSUkYM2YM8vPzERMTg/Hjx6OoqAgAUFBQgNGjRyM2NhZ5eXlITEzEnDlzGrXdd999F4GBgejevTssFgvKy8sbXP/y5cvw9/f/ze0hIiIiImoMnc5xU3OgevCRlZUFLy8vxZSSkqJYJz4+HnFxcQgNDUVKSgpKS0uxa9cuAMDy5cthNpuRmpoKs9mMsWPHIj4+/pZxx40bh3Xr1iEnJwcWiwXvvPMOJkyYUO/6O3bswAcffIDJkyerbSIRERERETUB1fd8REZGIj09XTHv5rML4eHhtv8bDAYYjUacO3cOAHDo0CFEREQo1u/du/ct4/56ENGjRw8EBQVh4MCBOHr0KDp16qRY94cffsCIESMwb948DBkypN5tWq1WWK3Wm+ZVQa+Xu06YiIiIiIjqp/rMh8FgQGhoqGK6efDh6qr8412n06GmRvpO7jr16dMHAHDkyBHF/B9//BEDBw7E5MmTMXfu3Aa3sWDBAvj4+Cim5Ys+sms9iYiIiOj3ROfA6fan+Q35ZrMZ3333nWLe7t27VW8nNzcXABAUFGSbt3//fkRGRuLJJ59EcnLyLbdhsVhw+fJlxZQ443HVdSEiIiIioltTfdmV1WpFYWGhciMuLggMDGxU+cTERCxatAizZs1CQkICcnNzkZGRAeD6GZK6HD16FOvXr0dMTAwCAgKQn5+P6dOn46GHHrJd4vXDDz/gkUceQVRUFGbMmGGro7OzM1q1alXndvV6fa3HBOtLeMkVEREREcnRNZMzEI6i+sxHdnY2goKCFFP//v0bXT4kJAQbNmzAxo0bER4ejvT0dNvTrurLF+Lm5oYvvvgCQ4YMQZcuXTBz5kyMGjUKmzZtsq2zYcMGnD9/HuvWrVPU7eb7S4iIiIiIyDF0QgjJtDz2k5ycjGXLluHkyZOOrgqOlGy69Up1aOXuJlXu/FW5ZFZCqB9Vn5NMStXeoHWSQfXxnCV/ZHCRvPBQNhmlbJJBmWSUskkGSyQTPnlKJif01cskGayQilVwRS4pmCzZJINtJY452d/ZZPuklkkGr16Ti9XaQ/XJfQDySQY9nOWSDF6qVJ9ksEJyn1yT/Mb3dJYrWFWjvp5ekgn1fr4i96EnG++MhkkGZTlLfga1dpcrd0rie182OWTvVsPkCmrgkjXLYbH99I86LHZjyX0y/0ZLly5FREQEAgICsH37dqSmpqrKQt6UTB4GqXIV1aVS5Vp7eEiVE0J92tJAd7lMxrKjU5k/oAC5gYROJ1dLJ8m/2K5UaXu7lJ9efT+pEXJ/QLk7y6XELZYLByHU95PLkgOkzj5y5azVcseO3lnuI9bVyXjrlW5y4eplqVi7z8tdahoZJPeGZ56o+wx3Q3r6y+1/Vye5zNWXKuWO72/PydVzbCf1f8RWXJP7fC2XHLRUSf693MFL/TFwpUrufZP9ocxD8oeThfu8pcr9913q/17wc5NrW0mV3Pt9tkKu3B2e6uspmUz9tqbTMcd5Qxwy+Dh8+DDmz5+PoqIiBAcHY+bMmbBYLI6oChERERERacQhg4+0tDSkpaU5IjQRERERURPiDecN4XkhIiIiIiLSBAcfRERERESkCYdcdkVERERE1BIxz0fDeOaDiIiIiIg0wTMfRERERER2wzMfDeGZDyIiIiIi0gTPfBARERER2QmTDDZM1eAjPj4ea9asqTU/KioK2dnZdqtUXQYMGIAvv/xSMS8xMRHLli2rte7FixfRs2dPnDp1CpcuXYKvr2+j49RALovoJatcRyutkssS7K9XX899l+TGmj385LL2tvLwkSp3plx9puZ2htZSsYqs56XKlUlmCe7oLZc9/GjJVdVlvF3l0sYKIde2Vh5yx8AViWNANjP9gWK5fdLOIBdw70W5ct181R8Drdx9pWLViDKpcmevyr3f7Q3qj4Gfr6jPAA4AnpKZq7v6BkiVCzNapcodvKw+o7e/Xq5tzpLHTpBE5moAOFis/v3uaJRr28lSuX6i08nFe6uv3LFzz7QK1WW2L9ZLxXJ1kmvbNcms44Xl6j8XjJLZ28k+lixZgtTUVBQWFqJnz554++230bt373rX/+ijj/Diiy/i2LFjCAsLw2uvvYaYmBhVMVX3kujoaJw5c0Yxvffee2o3I+WZZ55RxH399dfrXC8hIQHh4eGa1ImIiIiIqLn54IMPMGPGDMybNw/ff/89evbsiaioKJw7d67O9Xfs2IG4uDgkJCRg7969iI2NRWxsLH744QdVcVUPPvR6PUwmk2Ly8/OzLdfpdFixYgVGjhwJT09PhIWFITMzU7GNzMxMhIWFwd3dHZGRkVizZg10Oh2Ki4sbjO3p6amIazQaa62Tnp6O4uJiPP/882qbRkRERET0G+kcODXeokWL8Mwzz2DSpEno1q0bli1bBk9PT6xatarO9d98801ER0fjhRdeQNeuXfHKK6/gnnvuwf/+7/+qitskF6UlJSVhzJgxyM/PR0xMDMaPH4+ioiIAQEFBAUaPHo3Y2Fjk5eUhMTERc+bMadR23333XQQGBqJ79+6wWCwoLy9XLP/xxx/x8ssvY+3atXBy4vV2RERERPT7YbVaUVJSopis1tqXhFZWVmLPnj0YNGiQbZ6TkxMGDRqEnTt31rntnTt3KtYHrt96Ud/69VH9F3pWVha8vLwUU0pKimKd+Ph4xMXFITQ0FCkpKSgtLcWuXbsAAMuXL4fZbEZqairMZjPGjh2L+Pj4W8YdN24c1q1bh5ycHFgsFrzzzjuYMGGCbbnVakVcXBxSU1MRHBzcqLbU/QbJ3YNBRERERKRz4L8FCxbAx8dHMS1YsKBWHS9cuIDq6mq0adNGMb9NmzYoLCyss12FhYWq1q+P6juQIyMjkZ6erpjn7++veP3r+y0MBgOMRqPt+rFDhw4hIiJCsX5DN7bcMHnyZNv/e/TogaCgIAwcOBBHjx5Fp06dYLFY0LVrV8WA5FYWLFiApKQkxbzZc/8Iy0sTG70NIiIiIqLbgcViwYwZMxTz9Hq5BxY0FdWDD4PBgNDQ0AbXcXV1VbzW6XSoqbHv0wz69OkDADhy5Ag6deqErVu3Yt++fdiwYQMAQIjrj2oIDAzEnDlzag0ygLrfIKvT13atJxERERGRFvR6faMGG4GBgXB2dsbZs2cV88+ePQuTyVRnGZPJpGr9+mh+Y4TZbMZ3332nmLd7927V28nNzQUABAUFAQA+/vhj5OXlITc3F7m5uVixYgUA4KuvvsLUqVPr3IZer4fRaFRMer2b6roQEREREQGOveyqsdzc3HDvvfdiy5Yttnk1NTXYsmUL+vbtW2eZvn37KtYHgM2bN9e7fn1Un/mwWq21ru1ycXFBYGBgo8onJiZi0aJFmDVrFhISEpCbm4uMjAwA18+Q1OXo0aNYv349YmJiEBAQgPz8fEyfPh0PPfSQ7RKvTp06KcpcuHABANC1a1dVeT6IiIiIiFq6GTNm4Mknn8R9992H3r17Y/HixSgrK8OkSZMAABMnTkTbtm1t94w899xzePjhh7Fw4UIMGzYM77//Pr777jv87W9/UxVX9eAjOzvbdrbhBrPZjIMHDzaqfEhICDZs2ICZM2fizTffRN++fTFnzhz86U9/qvc0kZubG7744gvbTmnfvj1GjRqFuXPnqq0+EREREVETah5PXH3iiSdw/vx5vPTSSygsLESvXr2QnZ1tu6n8xIkTiqfHPvDAA1i/fj3mzp2Lv/zlLwgLC8M//vEPdO/eXVVcnbhxc4QDJScnY9myZTh58qSjq4KSqi+kyhWWq89ADQClVXLpZpnhXKmdoZVULNkM56clsrgC8hnOj5eqj9dcMpyXVqnfJ5WSt5CdrZCrYzuDXMD9ksdcN1/1x1ygZIbzrBNyWZq7+8t9LpwuU/8eFFfKvW/dJT+7OnjLZTi/ViOb4Vz9eyDzHQAAlyvlju+2ksdAQYn6rOMdjXKfk1pnOA/xluuX90wrv/VKN5HNcF4l+Vkpm+G82KpdhvNQ42NS5bRQWrXNYbG9XAc4LHZjyX0z/kZLly5FREQEAgICsH37dqSmpmLatGmOqEotF65WSJVrb5D7sqpBlVS5dw6r/5Jra5D7QPfVS36gQ65ckKf6QUthudwgoqpG7os42EtuX8p+oB8tUX+o6p3lgp2T/AN9VIjcF8jBYvX95KGg1lKxKq6pexzgDUVWuX5yRnKQ2lli3H66vFgqluzxvfOs661XqsPAO9Q/zvyT43Kx+rSW+3wtv3ZBqlyJ5JPai63q34Mwo9z9iTmnpYrB1UluX358zEN1mcQucgNi2eM0+xf1dQSAV+51lyq3bZH674/+CVekYqW/4StV7r5AuYH76p/UD5KeMcv93XU7q+82ArrOIYOPw4cPY/78+SgqKkJwcDBmzpwJi8XiiKoQEREREZFGHDL4SEtLQ1pamiNCExERERGRgzhk8EFERERE1DLxsquGNI/b8YmIiIiIqNnjmQ8iIiIiIjtRk+zv94hnPoiIiIiISBMcfBARERERkSZ42RURERERkd3wt/2GqNo78fHx0Ol0tabo6Oimqp/NgAEDasWdMmVKrfUyMjIQHh4Od3d3tG7dGlOnTm3yuhERERER0a3phBCNToMcHx+Ps2fPYvXq1Yr5er0efn5+dq/crw0YMACdO3fGyy+/bJvn6ekJo9Foe71o0SIsXLgQqamp6NOnD8rKynDs2DEMHz680XG+PfdPqfp1NMplvD4tmQHZ10199mrZ259qJLNyt/bwlypXce2i6jLnrsrtxytVcnvlTskM5yWVcvXU6dS/CU6Sb7ifm1zBKiGX4dxVp36f6CTKAMCVKrn3TZbBRe7g0Tv7qi5zvuKyVKyqGrn320miTwKAh8T59iq5riWtuFJun7hIHnM+Ep/nVyW7smRCe5wukzvm2hrUv3keznJ9q/SabF+WKoYyye8Pf3f1++SXUrk3btQrcpnKd74q17azFer7yYYCuUzxr9w7SKqcFiqu7XBYbA+XBxwWu7FU9xK9Xg+TyaSYfj3w0Ol0WLFiBUaOHAlPT0+EhYUhMzNTsY3MzEyEhYXB3d0dkZGRWLNmDXQ6HYqLixuM7enpqYj764HHpUuXMHfuXKxduxbjxo1Dp06dEB4ermrgQURERERETadJLkpLSkrCmDFjkJ+fj5iYGIwfPx5FRUUAgIKCAowePRqxsbHIy8tDYmIi5syZ06jtvvvuuwgMDET37t1hsVhQXl5uW7Z582bU1NTg1KlT6Nq1K9q1a4cxY8bg5MmTTdFEIiIiIqJa6rpFQaupOVA9+MjKyoKXl5diSklJUawTHx+PuLg4hIaGIiUlBaWlpdi1axcAYPny5TCbzUhNTYXZbMbYsWMRHx9/y7jjxo3DunXrkJOTA4vFgnfeeQcTJkywLf/5559RU1ODlJQULF68GBs2bEBRUREGDx6MyspKtc0kIiIiIiI7U331bWRkJNLT0xXz/P2V1/aHh4fb/m8wGGA0GnHu3DkAwKFDhxAREaFYv3fv3reMO3nyZNv/e/TogaCgIAwcOBBHjx5Fp06dUFNTg6qqKrz11lsYMmQIAOC9996DyWRCTk4OoqKiam3TarXCarUq5lVaq+Cmd71lfYiIiIiISB3VZz4MBgNCQ0MV082DD1dX5R/vOp0ONTX2vWOwT58+AIAjR44AAIKCggAA3bp1s63TqlUrBAYG4sSJE3VuY8GCBfDx8VFMa9760K71JCIiIqLfE50Dp9uf5g8iNpvN+O677xTzdu/erXo7ubm5AP5v0NGvXz8A18+s3FBUVIQLFy7gzjvvrHMbFosFly9fVkxP/vcY1XUhIiIiIqJbU33ZldVqRWFhoXIjLi4IDAxsVPnExEQsWrQIs2bNQkJCAnJzc5GRkQEA9d4oc/ToUaxfvx4xMTEICAhAfn4+pk+fjoceesh2iVfnzp0xYsQIPPfcc/jb3/4Go9EIi8WCLl26IDIyss7t6vV66PV6xTy3q7zkioiIiIjk6JhksEGq9052djaCgoIUU//+/RtdPiQkBBs2bMDGjRsRHh6O9PR029Oubh4I3ODm5oYvvvgCQ4YMQZcuXTBz5kyMGjUKmzZtUqy3du1a9OnTB8OGDcPDDz8MV1dXZGdn17oMjIiIiIiItKfqzEdGRobtLEV96spZeHP+juHDhyvybyQnJ6Ndu3Zwd6870Uz79u3x5Zdf3rJ+RqMRK1euxMqVK2+5LhERERERaUsi1+xvt3TpUkRERCAgIADbt29Hamoqpk2b5oiq1BIqman85yty2UeDJTNl+7oFqS7jpJN7u4sr5XKlXLQWSZW7LJEFvFoyC7vs+y2bcVkvmbk30N1XdRkd5PpktbgqVe5iRZlUOZOHl+oyP18plYrV2adxl4ferEYye7vsvtRJ3DQo+0gP2UzlbTwMUuX2XapQXcbsI9e6wgq5my/beMjFk82U7eEssS8ry2+9Tp2x5N7vEMnPSqNra9VlrNXFUrG8XeUeq+/uHCBV7kx5sVQ5Z53677hAiazoALA31U2q3L3xxVLldq9W35fjw9R/Jtz+mseN347ikMHH4cOHMX/+fBQVFSE4OBgzZ86ExWJxRFWIiIiIiEgjDhl8pKWlIS0tzRGhiYiIiIiaTHPJNO4ovB2fiIiIiIg04ZAzH0RERERELRPPfDSEZz6IiIiIiEgTHHwQEREREZEmeNkVEREREZGdMMN5w7h3iIiIiIhIEzzzQURERERkN7zhvCE6IUSj053Gx8djzZo1teZHRUUhOzvbrhW72YABA/Dll18q5iUmJmLZsmW217t378bs2bOxZ88e6HQ69O7dG6+//jp69uzZ6DhF1kyp+nm53iFV7kz5GalyR0vUZ68+VS6X8XpIW6tUOXdnvVQ5GVeq5DLbnr8q9wHhJTlsD3SXK7fjnPr3zstFLpNxgGQm3Q5enlLlNp9S37+i2hmlYv1SdkmqnJuT3L48eFmuo3T3u6a6jLPkd93+S3KfC9vPyWVOjuuoPuv7phNynyWjOshlmHeXPHZkHSpW30/C/eWO06yTrlLl7vJV3ycB4IjEd1U3if4PAIXlchdzfFgg99n1Rh+5ev5Spr5frjokV8fxoeVS5Vwlr4t59F1v1WW2PVkiFauD92NS5bRQVZPrsNiuTr0cFruxVHev6OhonDlzRjG99957TVG3Wp555hlF3Ndff922rLS0FNHR0QgODsa3336Lr7/+Gt7e3oiKikJVVZUm9SMiIiIiovqpHnzo9XqYTCbF5OfnZ1uu0+mwYsUKjBw5Ep6enggLC0NmpvJsQmZmJsLCwuDu7o7IyEisWbMGOp0OxcXFDcb29PRUxDUa/+/Xz4MHD6KoqAgvv/wyzGYz7rrrLsybNw9nz57F8ePH1TaTiIiIiEg1nQP/NQdNcsN5UlISxowZg/z8fMTExGD8+PEoKioCABQUFGD06NGIjY1FXl4eEhMTMWfOnEZt991330VgYCC6d+8Oi8WC8vL/O51oNpsREBCAlStXorKyEhUVFVi5ciW6du2KDh06NEUziYiIiIhIBdWDj6ysLHh5eSmmlJQUxTrx8fGIi4tDaGgoUlJSUFpail27dgEAli9fDrPZjNTUVJjNZowdOxbx8fG3jDtu3DisW7cOOTk5sFgseOeddzBhwgTbcm9vb2zbtg3r1q2Dh4cHvLy8kJ2djX/9619wceF99URERETU9HQ6ncOm5kD1X+WRkZFIT09XzPP391e8Dg8Pt/3fYDDAaDTi3LlzAIBDhw4hIiJCsX7v3r1vGXfy5Mm2//fo0QNBQUEYOHAgjh49ik6dOqGiogIJCQno168f3nvvPVRXV+ONN97AsGHDsHv3bnh4eNTaptVqhdWqvNnViiro9XI35BERERERUf1UDz4MBgNCQ0MbXMfVVfnHu06nQ02N3JM56tOnTx8AwJEjR9CpUyesX78ex44dw86dO+HkdP2Ezvr16+Hn54dPP/0UY8eOrbWNBQsWICkpSTHvz3PGYtaLcXatKxERERH9XjCNXkM0vx7JbDbjs88+U8zbvXu36u3k5uYCAIKCggAA5eXlcHJyUpxyuvG6voGPxWLBjBkzFPPKsFl1XYiIiIiI6NZUD82sVisKCwsV04ULFxpdPjExEQcPHsSsWbPw008/4cMPP0RGRgYA1Hut2tGjR/HKK69gz549OHbsGDIzMzFx4kQ89NBDtku8Bg8ejEuXLmHq1Kk4cOAA9u/fj0mTJsHFxQWRkZF1blev18NoNComXnJFRERERNQ0VA8+srOzERQUpJj69+/f6PIhISHYsGEDNm7ciPDwcKSnp9uedqXX151Iys3NDV988QWGDBmCLl26YObMmRg1ahQ2bdpkW6dLly7YtGkT8vPz0bdvXzz44IM4ffq0rb5ERERERE2Nj9ptmKrLrjIyMmxnKepTV8L0m/N3DB8+HMOHD7e9Tk5ORrt27eDuXnf65/bt29fKbl6XwYMHY/Dgwbdcj4iIiIiItKcTdY0WmtjSpUsRERGBgIAAbN++Hc8++yymTZuG+fPna12VWhbuk7vn4+GgSqlybk5yu9/XTX25kiptR8TernJtc5Ko5oFiZ6lYesl7wtyc5drmJ/G+ycYzuMjFqhFy/cRaLVUMnhL95FyF3BtXJfnci6vVcvtEtn91NKoveKpM7g0I8pTrJxeuyu2TGolwvnq5N+5kqdznQpCnXDzZL1OZfVJkleyTcrsEp8vkOrPZV32/vCTZtqMlco3rZ6qSKif7jVpxTX1JmT4CAJtO1n1Fya2M7XhVqtwlq/p+MuR1ub51LDlGqpwWasSPDovtpOvmsNiN5ZAEGIcPH8b8+fNRVFSE4OBgzJw5ExaLxRFVISIiIiIijThk8JGWloa0tDRHhCYiIiIiIgdh6m8iIiIiIjtpLpnGHYVZUIiIiIiISBM880FEREREZDf8bb8h3DtERERERKQJnvkgIiIiIrKT5pLsz1F45oOIiIiIiDTBwQcREREREWlDUKNcvXpVzJs3T1y9erXFxWPbmme8ltw2reOxbc0zHtvGeLdbLK3jsW3UHOmEEMLRA6DmoKSkBD4+Prh8+TKMRmOLise2Nc94LbltWsdj25pnPLaN8W63WFrHY9uoOeJlV0REREREpAkOPoiIiIiISBMcfBARERERkSY4+GgkvV6PefPmQa/Xt7h4bFvzjNeS26Z1PLatecZj2xjvdouldTy2jZoj3nBORERERESa4JkPIiIiIiLSBAcfRERERESkCQ4+iIiIiIhIExx8EBERERGRJjj4qEdhYSE+/fRTLF++HMuXL8enn36KwsJCR1erSUyaNAmnT592dDWapWvXriEvLw+ff/45Pv/8c+Tl5aGqqsrR1WoSSUlJuHDhQpPHuXbtGjZv3oyVK1fiiy++QHV1tV23X11djZ9//hk1NTUAAKvVig8//BDvv/8+zp49a9dYv3b58mUcOnQIhw4dwuXLl5ssjqNlZGRo0r7Dhw9jy5YtOHLkSJPFuLnv7dq1C9988w2sVmuTxPu99BGA/eS3+L30E636CDmAIIXS0lIxfvx44ezsLFxcXETr1q1F69athYuLi3B2dhYTJkwQZWVldotXWVkpXnjhBdGpUycREREhVq5cqVheWFgonJyc7BIrLy+vzsnV1VV88sknttdN5dKlS+Jvf/ubmDt3rvj73/8uiouL7br9s2fPii1btti2W1hYKF577TWxYMECkZ+fb9dY1dXVYs6cOcLX11fodDrF5OvrK+bOnSuqq6vtFm/JkiVi4MCB4vHHHxdffPGFYtn58+dFSEiI3WJdvny51lRcXCxcXV3Ft99+a5tnL9OmTRObNm0SQghx8uRJ0aVLF+Hs7CzatGkjnJ2dRY8ePcQvv/xil1h5eXkiKChIODk5ie7du4sTJ06I7t27C4PBILy8vISfn5/YtWuXXWLd8Pe//1107dpVODk5KaauXbuKFStW2DXWP//5T5GQkCBeeOEFceDAAcWyoqIiERkZadd4dXF1dRU//vijXbeZkpJi6/dFRUVi4MCBtuPNyclJREdHi0uXLtkt3rFjx8S9994rnJ2dRXR0tLh8+bIYNGiQLWbHjh3FoUOH7BZPyz4iBPuJvbCfNG0/aYo+QrcHDj5ukpCQIMLCwkR2dra4du2abf61a9fE559/Ljp37iyefvppu8WbN2+eaNOmjUhNTRVz5swRPj4+YvLkybblhYWFQqfT2SXWjQ/gm/9Y/vV8ew10hBBi5MiR4qOPPhJCCPHDDz+IwMBA0apVK9GnTx/Rpk0bYTKZ7PbBkpOTIwwGg9DpdMJkMonc3FzRrl07ERYWJsxms9Dr9eLzzz+3SywhhHjhhRdEq1atxLJly0RBQYEoLy8X5eXloqCgQCxfvly0bt1a/PnPf7ZLrDfffFN4enqKqVOnigkTJgg3NzeRkpJiW27PAaoQotYX242pqfpJmzZtxL59+4QQQowZM0YMGjRInD9/XgghxMWLF8Wjjz4qRo8ebZdYUVFRYvTo0WLfvn3iueeeE127dhWPP/64qKysFFVVVWLChAli0KBBdoklhBCvv/668PT0FLNnzxY5OTnixx9/FD/++KPIyckRFotFGAwGkZqaapdY7777rnB2dhbDhg0T/fv3F+7u7mLdunW25fbuJ35+fnVOOp1O+Pj42F7bQ7t27cT3338vhBDi6aefFnfffbf4/vvvRUVFhcjNzRX333+/SEhIsEssIYQYNWqUePjhh8WmTZvEmDFjRL9+/cSAAQPEL7/8Ik6fPi2ioqJEbGysXWJp2UeEYD9hP2kcLfuJln2Ebg8cfNzE19dXbN++vd7lX3/9tfD19bVbvNDQUNuvvkIIcfjwYREaGiri4+NFTU2NXQ/wnj17imHDhokDBw6IY8eOiWPHjomCggLh4uIiNm/ebJtnL35+frZfS4YOHSrGjRsnrFarEOL6GZ+EhAQxZMgQu8Tq37+/mDp1qrhy5YpITU0Vbdu2FVOnTrUtf/7558UDDzxgl1hCXP+DOTs7u97l2dnZonXr1naJ1a1bN/Huu+/aXm/fvl20atVKvPjii0II+/+x0LZtWzFs2DCxdetWsW3bNrFt2zaRk5MjnJ2dxerVq23z7MXd3V38/PPPQojrfzx8++23iuX79u0TgYGBdonl5+dnG/CWl5cLZ2dnRbwffvhBBAQE2CWWEEIEBweLDz74oN7l77//vmjfvr1dYvXq1Uu8+eabttcffPCBMBgMtl9E7d1PvLy8xLBhw0RGRoZtWr16tXB2dhbJycm2efag1+ttn00dOnQQX375pWL5d999J4KCguwSSwghWrVqJfbu3SuEEKK4uFjodDrx1Vdf2Zbv2bNHtGnTxi6xtOwjQrCfsJ80jpb9RMs+QrcHDj5uYjQaxe7du+tdvmvXLmE0Gu0Wz8PDQxQUFCjm/fLLL6Jz585i/Pjx4tSpU3Y7wK1Wq3juuedEt27dbL8OCSGEi4uL2L9/v11i/JqHh4c4cuSIEEKIoKAgRUwhhDh06JDw8fGxSyyj0WiLVVVVJVxcXGxfCkII8dNPP9ktlhBCeHp6NngpV15enjAYDHaJVVcf2bdvn2jTpo2YPXu23f9YuHjxooiNjRWRkZGKy52aqp+Eh4eL999/XwghRNeuXcXmzZsVy3fs2CH8/f3tEsvX11f89NNPQojrA2BnZ2exZ88e2/IDBw7Y9Rc2d3f3Bs/u7d+/X3h4eNgllsFgsA3ibti6davw8vIS6enpdu8nhw8fFhEREWLixIniypUrtvlN0U86d+4ssrKyhBBChISE1PqBaO/evXb9XPb29rbty+rqauHi4iJyc3Ntyw8fPiy8vb3tEkvLPiIE+wn7SeNo2U+07CN0e+AN5zd59NFHMXnyZOzdu7fWsr179+JPf/oTHnvsMbvFM5lMOHr0qGJe27ZtkZOTg927dyM+Pt5usdzc3LB48WK88cYbGD58OBYsWGC76bYphIeHY+vWrQCut/P48eOK5cePH4eHh4ddYrm5ueHq1asAgMrKStTU1NheA0BFRQVcXV3tEgsABgwYgOeff77OG7AvXLiAWbNmYcCAAXaJFRgYiJMnTyrmde/eHVu3bsXq1avx5z//2S5xbvD398cnn3yCxx9/HL1798Z7771n1+3fbPr06Xj++eexbds2WCwW/Pd//ze2bNmC06dPIycnB4mJifjDH/5gl1j33nsvXnvtNZw6dQoLFixASEgI/vd//9e2/O2330b37t3tEgsAIiIi8Oqrr+LatWu1llVXV+O1115DRESEXWIZjcZaN8xHRkYiKysLL7zwAt5++227xLkhNDQUO3bsgMlkQq9evbB9+3a7bv/XnnnmGbzwwgs4cuQIpk2bhueff972uVlQUIDp06djyJAhdot31113YdWqVQCANWvWICAgAO+//75t+XvvvYfOnTvbJZaWfQRgP2E/aRwt+4mWfYRuE44e/dxuioqKRHR0tNDpdMLf31906dJFdOnSRfj7+wsnJycxdOhQu96wlpCQIJ566qk6l/3yyy8iNDTUrr9C3VBYWCiGDh0qHnzwwSb7dSErK0v4+/uL1atXi9WrV4sOHTqIFStWiO3bt4tVq1aJ9u3bixdeeMEusUaMGCEeffRR8fXXX4vJkyeL++67TwwbNkyUlpaKsrIyMXr0aBEdHW2XWEII243KLi4u4u677xbR0dEiOjpa3H333cLFxUWEh4eLEydO2CVWXFyc+J//+Z86l/3www+iVatWTdJHhLj+a1rPnj1FXFxck/4KtXDhQuHp6Sk8PDyEm5ub4l6T2NhYxa9hv8WuXbtEQECAcHJyEq1atRI//PCD6NOnjzCZTOKOO+4QHh4etW7o/y3y8vKEyWQSAQEBYuTIkWLKlCliypQpYuTIkSIgIEAEBQXZ7nf5rUaMGCFeeumlOpfduCeqqfrJli1bRHBwsLBYLMLV1bVJ+smzzz4rXF1dRZcuXYS7u7twcnKy9ZX77rtPnDlzxm6xsrOzhbu7u3BzcxPu7u7iyy+/FJ07dxa9e/cW999/v3B2dm7wEhg1tOwjQrCfsJ80jqP6iRZ9hBxPJ4QQjh4A3Y4OHjyInTt32h6vazKZ0LdvX3Tp0sWucY4fP46DBw8iKiqqzuWnT5/G5s2b8eSTT9o17g1vvfUWcnJy8Pbbb6Ndu3Z23/7HH3+M//mf/8Hp06fx666m1+sxZcoUvPHGG3B2dv7NcQ4fPoxhw4bhyJEj6NKlCzZv3oz/+q//wmeffQYA8PPzQ3Z2Nu65557fHOuGmpoafP755/jmm29q9ZMhQ4bAyck+Jxbz8/OxZ88eTJo0qc7lP/zwAz7++GPMmzfPLvFuVllZidmzZyMnJwcbN25ESEhIk8QpLi7G5s2bbY/BDQoKQr9+/RAWFmbXOGVlZTh48CDMZjO8vLxw9epVvPvuu6ioqMDgwYNhNpvtGu/KlStYt25dnf1k3LhxMBqNdonz5ZdfYseOHbBYLHUuz8nJwdq1a7F69Wq7xLvZxYsX8cwzzyAnJwfffPON3fcjABw4cABZWVm1+sigQYOg0+nsGuvYsWPYs2cP7r33XnTo0AFnz57FkiVLUF5ejmHDhiEyMtJusbTqIwD7CftJ4ziyn2jRR8ixOPigJlddXY3vv/9e8UVw7733wtvb2+6xLl68iICAANvrLVu2oKKiAn379lXMJyIiIiLt8Z4PanLOzs6IiIjAE088gbi4OAwYMKBJBh4Aag0wBg4ciEcffVTzgUdZWRn+85//tLhYLT2e1m0juuHmRHXffvst/vOf/zRZ0tKWHK8lt+1mWicJ1jIeEyC3YA696IuohcrNzW2y66YdGaulx7N3LC2TiGoZS+t4Lbltp0+fFv369RPOzs7ioYceEkVFRWLYsGG2HEydO3cWp0+ftkusG/EeeOABTeNp1T5H7Eut4mmdJFjLeI5OgEza45kPIqImkpycjLVr12LKlCkYMmQIZsyYgcTERMU6wk5XvmoZS+t4Lblts2bNghACn3zyCYKCgvDoo4+ipKQEJ0+exLFjx9CqVSskJyfbJdaNeAA0jadV+xyxL7WK16tXL9x9993o1auXYrp27RpGjRplW24vWsbTum10G3DYsIeoGasvI+uNyWg0Nnn216aI1dLjad02LZOIahlL63gtuW1BQUFi586dQojrOXZ0Op3iiWtbtmwRHTt2tEuslh6vJbdN6yTBWsbTum3keC6OHvwQNUdWqxV/+tOf0KNHjzqXHz9+HElJSc0uVkuPp3XbTp06pcgbEhoaim3btuGRRx7BH//4R7z++uvNMpbW8Vpy2y5duoS2bdsCuJ5jx9PTE3feeaci9pkzZxjvNouldbxdu3bhz3/+M0aNGoV169YpzgTccccdirjNLZ7WbaPbgKNHP7era9euidTUVBERESHatGlT6xfS5hxP67a1RA888IBYvHhxvcvtee+AlrFaejyt2xYSElJn3pBTp06Jzp07i8GDB9stnpaxtI7XktsWHBwsvv32W9vrWbNmiYsXL9pe5+bmisDAQLvEaunxWnLbbvjss89Eu3btREpKii2relPmwtAyntZtI8fhPR/1SEpKwqJFi/DEE0/g8uXLmDFjBv7whz/AyckJf/3rX5t1PK3bVl1djTfeeAO9e/eGyWSCv7+/YmqOsYYNG4bi4uJ6l/v7+2PixInNLlZLj6d12x555BGsX7++1vw77rgDW7duRUFBQbOMpXW8lty2Xr16YefOnbbXr776quKz6uuvv0Z4eDjj3WaxHBEPAIYOHYrvvvsOX331FQYMGGDXbTs6ntZtIwdy9OjndtWxY0eRlZUlhBDCy8tLHDlyRAghxJtvvini4uKadTyt2/biiy+KoKAg8cYbbwh3d3fxyiuviISEBBEQECDefPPNZhuL6FaOHTsmsrOz611+6tQpkZGR0exiaR2vJbftVr799lu7Zq7+PcdraW178803RWxsrDh58mSTxXBUPK3bRtpiksF6GAwGHDhwAMHBwQgKCsI///lP3HPPPfj5559x99134/Lly802ntZt69SpE9566y0MGzYM3t7eyM3Ntc375ptv6vyFsTnEIiIiIiJ1eNlVPdq1a2e7UaxTp07497//DQDYvXs39Hp9s46nddsKCwttN/h6eXnZBjePPvoo/vnPfzbbWERERESkDgcf9Rg5ciS2bNkCAHj22Wfx4osvIiwsDBMnTsRTTz3VrONp3baWPLAiIiIiosbjZVeNtHPnTuzcuRNhYWF47LHHWlS8po41e/ZsGI1G/OUvf8EHH3yACRMmoEOHDjhx4gSmT5+OV199tVnGIiIiIiJ1OPggzbWkgRURERERNR4HHw04dOgQ3n77bRw4cAAA0LVrVzz77LMwm83NPp7WbSMiIiIiYobzenz88ccYO3Ys7rvvPvTt2xcA8M0336B79+54//33MWrUqGYbT+u2AS13YFVdXY20tDR8+OGHOHHiBCorKxXLi4qKmmWslh6PbbMftq35xWrp8dg2+2nJbSMHctxTfm9vHTt2FC+++GKt+S+99JLo2LFjs46ndds2bNggXFxcxP333y+mT58upk+fLvr27StcXFzEhg0bmm0sIVp2DpOWHI9ta57x2DbGu91iaR2PbaOWgIOPenh4eIjDhw/Xmv/TTz8JDw+PZh1P67a15IFVS04O2ZLjsW3NMx7bxni3Wyyt47Ft1BJw8FGPoUOHilWrVtWav2rVKjFkyJBmHU/rtrXkgZWnp6c4fvy4EEIIk8kk9uzZI4QQ4ujRo8JoNDbbWC09HtvWPOOxbYx3u8XSOh7bRi0B83zUY/jw4Zg1axamTZuGdevWYd26dZg2bRpmz56NkSNHIjMz0zY1t3hat23AgAH46quvas3/+uuv8eCDD9olhiNiAS07h0lLjse2Nc94bBvj3W6xtI7HtlGL4OjRz+1Kp9M1anJycmp28bRuW3p6umjVqpWYOnWqeOedd8Q777wjpk6dKlq3bi3S09PFp59+apuaUywhhJg1a5ZITk4WQgjx/vvvCxcXFxEaGirc3NzErFmz7BLDEbFaejy2rXnGY9sY73aLpXU8to1aAj5ql5qck1PjTrDpdDpUV1c3m1h1ack5TFpyPLatecZj2xjvdouldTy2jZojDj6IiIiIiEgTzPNxk507d+LixYt49NFHbfPWrl2LefPmoaysDLGxsXj77bftdv2hlvG0btvvRUvNYdLS47FtzTMe28Z4t1ssreOxbdTc8Ybzm7z88svYv3+/7fW+ffuQkJCAQYMGYfbs2di0aRMWLFjQLONp3badO3ciKytLMW/t2rUICQlB69atMXnyZFit1mYX69c+/vhjdO/eHXv27EHPnj3Rs2dPfP/99+jevTs+/vjjZhurpcdj25pnPLaN8W63WFrHY9uoRXDsLSe3H5PJJHbv3m17/Ze//EX069fP9vrDDz8UXbt2bZbxtG5bdHS0ePXVV22v8/PzhYuLi3j66afFwoULhclkEvPmzWt2sX6tpecwaanx2LbmGY9tY7zbLZbW8dg2agk4+LiJXq8XJ06csL3u16+fmD9/vu11QUGB8PLyapbxtG5bSx5Y3dCSc5i05HhsW/OMx7Yx3u0WS+t4bBu1BLzs6iZt2rRBQUEBAKCyshLff/897r//ftvyK1euwNXVtVnG07ptly5dQps2bWyvv/zySwwdOtT2OiIiAidPnmx2sX6tJecwacnx2LbmGY9tY7zbLZbW8dg2agl4w/lNYmJiMHv2bLz22mv4xz/+AU9PT0Wnz8/PR6dOnZplPK3bdmOw0759e9tgJykpyba8KQZWWsT6tRsJG/fs2WMbyH3zzTf46KOPkJSUpEjUOHz48GYTq6XHY9vsE0vreGybfWK19Hhsm31iaR1P67aRAzn61Mvt5vz58+LBBx8UOp1OeHt7i40bNyqWP/LII+Ivf/lLs4ynddumTJki+vbtK/7zn/+IGTNmiICAAGG1Wm3L161bJ+67775mF+vXWnJyyJYcj21j2263eC25bVrHY9vYNrq9Mc9HPS5fvgwvLy84Ozsr5hcVFcHLywtubm7NNp5WsS5cuIA//OEP+Prrr+Hl5YU1a9Zg5MiRtuUDBw7E/fffj+Tk5GYVi4iIiIjkcPBBTa4lDqyIiIiISD3ecE5NzsfHp9ZgAAD8/f3tPhjQKlZLzmHSkuOxbWzb7RavJbdN63hsG9tGzYRjr/oiap5acg6TlhyPbbNPLK3jsW32idXS47Ft9omldTxH5ekix+Hgg0hCS85h0pLjsW1s2+0WryW3Tet4bBvbRs0DL7siktCSc5i05HhsG9t2u8VryW3TOh7bxrZR88DBB5GElpwcsiXHY9vYttstXktum9bx2Da2jZoHDj6IJNxI2PjVV1/BYrFokhxSi1gtPR7bxrbdbvFactu0jse2sW3UTDj6ui+i5qglJ4dsyfHYNrbtdovXktumdTy2jW2j5oF5Poh+g5acw6Qlx2Pb7Idta36xWno8ts1+WnLbyHE4+CAiIiIiIk3wng8iIiIiItIEBx9ERERERKQJDj6IiIiIiEgTHHwQEREREZEmOPggIiIiIiJNcPBBRERERESa4OCDiIiIiIg0wcEHERERERFp4v8BOzRVm8MHSTIAAAAASUVORK5CYII=", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "print(eng_deu_cos_sim)\n", - "print(eng_spa_cos_sim)\n", - "print(spa_deu_cos_sim)" + "eng_spa_df = pd.DataFrame(eng_spa_cos_sim, index=[f\"Eng {i}\" for i in range(len(eng_sentences))],\n", + " columns=[f\"Spa {i}\" for i in range(len(spa_sentences))])\n", + "\n", + "eng_deu_df = pd.DataFrame(eng_deu_cos_sim, index=[f\"Eng {i}\" for i in range(len(eng_sentences))],\n", + " columns=[f\"Deu {i}\" for i in range(len(deu_sentences))])\n", + "\n", + "spa_deu_df = pd.DataFrame(spa_deu_cos_sim, index=[f\"Spa {i}\" for i in range(len(spa_sentences))],\n", + " columns=[f\"Deu {i}\" for i in range(len(deu_sentences))])\n", + "\n", + "def plot_heatmap(similarity_df, title):\n", + " plt.figure(figsize=(10, 8))\n", + " sns.heatmap(similarity_df, annot=False, cmap=\"YlGnBu\", cbar=True)\n", + " plt.title(title)\n", + " plt.show()\n", + "\n", + "plot_heatmap(eng_spa_df, \"English-Spanish Cosine Similarity\")\n", + "plot_heatmap(eng_deu_df, \"English-German Cosine Similarity\")\n", + "plot_heatmap(spa_deu_df, \"Spanish-German Cosine Similarity\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# Finding aligned sentence pairs\n", + "## Finding aligned sentence pairs\n", + "\n", + "We may find which of the sentences correspond to which in the translation by determining the cosine distance and considering equivalent in meaning those sentences that are the closest together in the embedding space.\n", + "\n", + "`eng_spa_alignment` contains the actual alignment (or mapping) between the indices of (English and Spanish). The 'cosine' distance is used to measure how similar or dissimilar the embeddings are at each point.\n", + "\n", + "`eng_spa_distance` is the total minimal distance between the two sequences of embeddings the two sequences (English and Spanish embeddings), i.e., which English sentence aligns with which Spanish sentence based on the dynamic time warping (DTW) algorithm.\n", + "\n", + "#### FastDTW\n", "\n", - "We may find which of the sentences correspond to which in the translation by determining the cosine distance and considering equivalent in meaning those sentences that are the closest together in the embedding space." + "`FastDTW` (Fast Dynamic Time Warping) is an optimized version of Dynamic Time Warping (DTW), which is a distance measure used to align two sequences of data that may vary in time or length. DTW finds the optimal alignment by minimizing the distance between the sequences, typically for time series data. It allows for stretching or compressing parts of the sequences to find a better match.\n", + "\n", + "The key characteristic of DTW is that it ensures **monotonic alignment**, meaning that the sequence of aligned points progresses consistently without reversing. This property is crucial for aligning bilingual texts, where each sentence or phrase in one language should align in the same order with the corresponding sentences in another language, maintaining the logical sequence.\n", + "\n", + "`FastDTW` speeds up the computation while approximating the results of traditional DTW, making it more efficient for larger datasets or longer sequences.\n", + "\n", + "For more information on `FastDTW` see [this](https://cs.fit.edu/~pkc/papers/tdm04.pdf)." ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 40, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Aligned Sentence Pairs (English -> Spanish):\n", - "English: One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug.\n", - "Spanish: Estaba tumbado sobre su espalda dura, y en forma de caparazón y, al levantar un poco la cabeza, veía un vientre abombado, parduzco, dividido por partes duras en forma de arco, sobre cuya protuberancia apenas podía mantenerse el cobertor, a punto ya de resbalar al suelo.\n", - "----------------------------------------\n", - "English: One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug.\n", - "Spanish: Estaba tumbado sobre su espalda dura, y en forma de caparazón y, al levantar un poco la cabeza, veía un vientre abombado, parduzco, dividido por partes duras en forma de arco, sobre cuya protuberancia apenas podía mantenerse el cobertor, a punto ya de resbalar al suelo.\n", - "----------------------------------------\n", - "Aligned Sentence Pairs (English -> German):\n", - "English: One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug.\n", - "German: Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig hob, seinen gewölbten, braunen, von bogenförmigen Versteifungen geteilten Bauch, auf dessen Höhe sich die Bettdecke, zum gänzlichen Niedergleiten bereit, kaum noch erhalten konnte.\n", - "----------------------------------------\n", - "English: One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug.\n", - "German: Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig hob, seinen gewölbten, braunen, von bogenförmigen Versteifungen geteilten Bauch, auf dessen Höhe sich die Bettdecke, zum gänzlichen Niedergleiten bereit, kaum noch erhalten konnte.\n", - "----------------------------------------\n", - "Aligned Sentence Pairs (Spanish -> German):\n", - "Spanish: Cuando Gregorio Samsa se despertó una mañana después de un sueño intranquilo, se encontró sobre su cama convertido en un monstruoso insecto.\n", - "German: Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig hob, seinen gewölbten, braunen, von bogenförmigen Versteifungen geteilten Bauch, auf dessen Höhe sich die Bettdecke, zum gänzlichen Niedergleiten bereit, kaum noch erhalten konnte.\n", - "----------------------------------------\n", - "Spanish: Cuando Gregorio Samsa se despertó una mañana después de un sueño intranquilo, se encontró sobre su cama convertido en un monstruoso insecto.\n", - "German: Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig hob, seinen gewölbten, braunen, von bogenförmigen Versteifungen geteilten Bauch, auf dessen Höhe sich die Bettdecke, zum gänzlichen Niedergleiten bereit, kaum noch erhalten konnte.\n", - "----------------------------------------\n" + "Sentence Pairs Above Threshold 0.7 (English -> Spanish):\n", + "English Sentence 3: His numerous legs, pitifully thin in comparison to the rest of his circumference, flickered helplessly before his eyes. <-> Spanish Sentence 2: Sus muchas patas, ridículamente pequeñas en comparación con el resto de su tamaño, le vibraban desamparadas ante los ojos. (Cosine Similarity: 0.76)\n", + "English Sentence 4: \"What's happened to me,\" he thought. <-> Spanish Sentence 3: «¿Qué me ha ocurrido?», pensó. (Cosine Similarity: 0.77)\n", + "English Sentence 5: It was no dream. <-> Spanish Sentence 4: No era un sueño. (Cosine Similarity: 0.93)\n", + "English Sentence 6: His room, a proper room for a human being, only somewhat too small, lay quietly between the four well-known walls. <-> Spanish Sentence 5: Su habitación, una auténtica habitación humana, si bien algo pequeña, permanecía tranquila entre las cuatro paredes harto conocidas. (Cosine Similarity: 0.72)\n", + "English Sentence 7: Above the table, on which an unpacked collection of sample cloth goods was spread out (Samsa was a traveling salesman) hung the picture which he had cut out of an illustrated magazine a little while ago and set in a pretty gilt frame. <-> Spanish Sentence 6: Por encima de la mesa, sobre la que se encontraba extendido un muestrario de paños desempaquetados – Samsa era viajante de comercio –, estaba colgado aquel cuadro, que hacía poco había recortado de una revista y había colocado en un bonito marco dorado. (Cosine Similarity: 0.72)\n", + "English Sentence 13: But this was entirely impractical, for he was used to sleeping on his right side, and in his present state he couldn't get himself into this position. <-> Spanish Sentence 9: Pero esto era algo absolutamente imposible, porque estaba acostumbrado a dormir del lado derecho, pero en su estado actual no podía ponerse de ese lado. (Cosine Similarity: 0.74)\n", + "English Sentence 23: He slid back again into his earlier position. <-> Spanish Sentence 18: Se deslizó de nuevo a su posición inicial. (Cosine Similarity: 0.85)\n", + "English Sentence 24: \"This getting up early,\" he thought, \"makes a man quite idiotic. <-> Spanish Sentence 19: «Esto de levantarse pronto», pensó, «le hace a uno desvariar. (Cosine Similarity: 0.70)\n", + "English Sentence 25: A man must have his sleep. <-> Spanish Sentence 20: El hombre tiene que dormir. (Cosine Similarity: 0.84)\n", + "English Sentence 32: He would've fallen right off his desk! <-> Spanish Sentence 26: ¡Se habría caído de la mesa! (Cosine Similarity: 0.84)\n", + "English Sentence 41: \"Good God,\" he thought. <-> Spanish Sentence 12: «Dios mío!», pensó. (Cosine Similarity: 0.82)\n", + "English Sentence 41: \"Good God,\" he thought. <-> Spanish Sentence 30: «¡Dios del cielo!», pensó. (Cosine Similarity: 0.82)\n", + "English Sentence 47: Yes, but was it possible to sleep through this noise that made the furniture shake? <-> Spanish Sentence 35: ¿Era posible seguir durmiendo tan tranquilo con ese ruido que hacía temblar los muebles? (Cosine Similarity: 0.80)\n", + "English Sentence 49: Still, what should he do now? <-> Spanish Sentence 37: ¿Qué iba a hacer ahora? (Cosine Similarity: 0.71)\n" ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sentence Pairs Above Threshold 0.7 (English -> German):\n", + "English Sentence 0: One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug. <-> German Sentence 0: Als Gregor Samsa eines Morgens aus unruhigen Träumen erwachte, fand er sich in seinem Bett zu einem ungeheueren Ungeziefer verwandelt. (Cosine Similarity: 0.73)\n", + "English Sentence 17: Day in, day out on the road. <-> German Sentence 8: Tag aus, Tag ein auf der Reise. (Cosine Similarity: 0.73)\n", + "English Sentence 18: The stresses of trade are much greater than the work going on at head office, and, in addition to that, I have to deal with the problems of traveling, the worries about train connections, irregular bad food, temporary and constantly changing human relationships which never come from the heart. <-> German Sentence 9: Die geschäftlichen Aufregungen sind viel größer, als im eigentlichen Geschäft zuhause, und außerdem ist mir noch diese Plage des Reisens auferlegt, die Sorgen um die Zuganschlüsse, das unregelmäßige, schlechte Essen, ein immer wechselnder, nie andauernder, nie herzlich werdender menschlicher Verkehr. (Cosine Similarity: 0.72)\n", + "English Sentence 25: A man must have his sleep. <-> German Sentence 12: Der Mensch muß seinen Schlaf haben. (Cosine Similarity: 0.88)\n", + "English Sentence 26: Other traveling salesmen live like harem women. <-> German Sentence 13: Andere Reisende leben wie Haremsfrauen. (Cosine Similarity: 0.82)\n", + "English Sentence 27: For instance, when I come back to the inn during the course of the morning to write up the necessary orders, these gentlemen are just sitting down to breakfast. <-> German Sentence 14: Wenn ich zum Beispiel im Laufe des Vormittags ins Gasthaus zurückgehe, um die erlangten Aufträge zu überschreiben, sitzen diese Herren erst beim Frühstück. (Cosine Similarity: 0.78)\n", + "English Sentence 29: Still, who knows whether that mightn't be really good for me. <-> German Sentence 16: Wer weiß übrigens, ob das nicht sehr gut für mich wäre. (Cosine Similarity: 0.78)\n", + "English Sentence 32: He would've fallen right off his desk! <-> German Sentence 18: Vom Pult hätte er fallen müssen! (Cosine Similarity: 0.75)\n", + "English Sentence 44: Could the alarm have failed to ring? <-> German Sentence 24: Sollte der Wecker nicht geläutet haben? (Cosine Similarity: 0.73)\n", + "English Sentence 49: Still, what should he do now? <-> German Sentence 28: Was aber sollte er jetzt tun? (Cosine Similarity: 0.78)\n", + "English Sentence 53: And even if he caught the train, there was no avoiding a blow up with the boss, because the firm's errand boy would've waited for the five o'clock train and reported the news of his absence long ago. <-> German Sentence 30: Und selbst wenn er den Zug einholte, ein Donnerwetter des Chefs war nicht zu vermeiden, denn der Geschäftsdiener hatte beim Fünfuhrzug gewartet und die Meldung von seiner Versäumnis längst erstattet. (Cosine Similarity: 0.72)\n", + "English Sentence 54: He was the boss's minion, without backbone or intelligence. <-> German Sentence 31: Es war eine Kreatur des Chefs, ohne Rückgrat und Verstand. (Cosine Similarity: 0.75)\n", + "English Sentence 55: Well then, what if he reported in sick? <-> German Sentence 32: Wie nun, wenn er sich krank meldete? (Cosine Similarity: 0.83)\n", + "English Sentence 56: But that would be extremely embarrassing and suspicious, because during his five years' service Gregor hadn't been sick even once. <-> German Sentence 33: Das war aber äußerst peinlich und verdächtig, denn Gregor war während seines fünfjährigen Dienstes noch nicht einmal krank gewesen. (Cosine Similarity: 0.78)\n", + "English Sentence 57: The boss would certainly come with the doctor from the health insurance company and would reproach his parents for their lazy son and cut short all objections with the insurance doctor's comments; for him everyone was completely healthy but really lazy about work. <-> German Sentence 34: Gewiß würde der Chef mit dem Krankenkassenarzt kommen, würde den Eltern wegen des faulen Sohnes Vorwürfe machen und alle Einwände durch den Hinweis auf den Krankenkassenarzt abschneiden, für den es ja überhaupt nur ganz gesunde, aber arbeitsscheue Menschen gibt. (Cosine Similarity: 0.72)\n", + "English Sentence 58: And besides, would the doctor in this case be totally wrong? <-> German Sentence 35: Und hätte er übrigens in diesem Falle so ganz unrecht? (Cosine Similarity: 0.71)\n" + ] + }, + { + "data": { + "image/png": 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", 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(Cosine Similarity: 0.89)\n", + "Spanish Sentence 1: Estaba tumbado sobre su espalda dura, y en forma de caparazón y, al levantar un poco la cabeza, veía un vientre abombado, parduzco, dividido por partes duras en forma de arco, sobre cuya protuberancia apenas podía mantenerse el cobertor, a punto ya de resbalar al suelo. <-> German Sentence 1: Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig hob, seinen gewölbten, braunen, von bogenförmigen Versteifungen geteilten Bauch, auf dessen Höhe sich die Bettdecke, zum gänzlichen Niedergleiten bereit, kaum noch erhalten konnte. (Cosine Similarity: 0.71)\n", + "Spanish Sentence 15: Los esfuerzos profesionales son mucho mayores que en el mismo almacén de la ciudad, y además se me ha endosado este ajetreo de viajar, el estar al tanto de los empalmes de tren, la comida mala y a deshora, una relación humana constantemente cambiante, nunca duradera, que jamás llega a ser cordial. <-> German Sentence 9: Die geschäftlichen Aufregungen sind viel größer, als im eigentlichen Geschäft zuhause, und außerdem ist mir noch diese Plage des Reisens auferlegt, die Sorgen um die Zuganschlüsse, das unregelmäßige, schlechte Essen, ein immer wechselnder, nie andauernder, nie herzlich werdender menschlicher Verkehr. (Cosine Similarity: 0.74)\n", + "Spanish Sentence 20: El hombre tiene que dormir. <-> German Sentence 12: Der Mensch muß seinen Schlaf haben. (Cosine Similarity: 0.86)\n", + "Spanish Sentence 22: Si yo, por ejemplo, a lo largo de la mañana vuelvo a la pensión para pasar a limpio los pedidos que he conseguido, estos señores todavía están sentados tomando el desayuno. <-> German Sentence 14: Wenn ich zum Beispiel im Laufe des Vormittags ins Gasthaus zurückgehe, um die erlangten Aufträge zu überschreiben, sitzen diese Herren erst beim Frühstück. (Cosine Similarity: 0.77)\n", + "Spanish Sentence 24: Quién sabe, por lo demás, si no sería lo mejor para mí. <-> German Sentence 16: Wer weiß übrigens, ob das nicht sehr gut für mich wäre. (Cosine Similarity: 0.72)\n", + "Spanish Sentence 25: Si no tuviera que dominarme por mis padres, ya me habría despedido hace tiempo, me habría presentado ante el jefe y le habría dicho mi opinión con toda mi alma. <-> German Sentence 17: Wenn ich mich nicht wegen meiner Eltern zurückhielte, ich hätte längst gekündigt, ich wäre vor den Chef hin getreten und hätte ihm meine Meinung von Grund des Herzens aus gesagt. (Cosine Similarity: 0.87)\n", + "Spanish Sentence 26: ¡Se habría caído de la mesa! <-> German Sentence 18: Vom Pult hätte er fallen müssen! (Cosine Similarity: 0.76)\n", + "Spanish Sentence 28: Bueno, la esperanza todavía no está perdida del todo; si alguna vez tengo el dinero suficiente para pagar las deudas que mis padres tienen con él – puedo tardar todavía entre cinco y seis años – lo hago con toda seguridad. <-> German Sentence 20: Nun, die Hoffnung ist noch nicht gänzlich aufgegeben; habe ich einmal das Geld beisammen, um die Schuld der Eltern an ihn abzuzahlen - es dürfte noch fünf bis sechs Jahre dauern -, mache ich die Sache unbedingt. (Cosine Similarity: 0.78)\n", + "Spanish Sentence 31: Eran las seis y media y las manecillas seguían tranquilamente hacia delante, ya había pasado incluso la media, eran ya casi las menos cuarto. <-> German Sentence 23: Es war halb sieben Uhr, und die Zeiger gingen ruhig vorwärts, es war sogar halb vorüber, es näherte sich schon dreiviertel. (Cosine Similarity: 0.77)\n", + "Spanish Sentence 32: ¿Es que no habría sonado el despertador?» <-> German Sentence 24: Sollte der Wecker nicht geläutet haben? (Cosine Similarity: 0.78)\n", + "Spanish Sentence 33: Desde la cama se veía que estaba correctamente puesto a las cuatro, seguro que también había sonado. <-> German Sentence 25: Man sah vom Bett aus, daß er auf vier Uhr richtig eingestellt war; gewiß hatte er auch geläutet. (Cosine Similarity: 0.86)\n", + "Spanish Sentence 36: Bueno, tampoco había dormido tranquilo, pero quizá tanto más profundamente. <-> German Sentence 27: Nun, ruhig hatte er ja nicht geschlafen, aber wahrscheinlich desto fester. (Cosine Similarity: 0.76)\n", + "Spanish Sentence 37: ¿Qué iba a hacer ahora? <-> German Sentence 28: Was aber sollte er jetzt tun? (Cosine Similarity: 0.82)\n", + "Spanish Sentence 40: ¿Qué pasaría si dijese que estaba enfermo? <-> German Sentence 32: Wie nun, wenn er sich krank meldete? (Cosine Similarity: 0.76)\n", + "Spanish Sentence 41: Pero esto sería sumamente desagradable y sospechoso, porque Gregorio no había estado enfermo ni una sola vez durante los cinco años de servicio. <-> German Sentence 33: Das war aber äußerst peinlich und verdächtig, denn Gregor war während seines fünfjährigen Dienstes noch nicht einmal krank gewesen. (Cosine Similarity: 0.71)\n", + "Spanish Sentence 42: Seguramente aparecería el jefe con el médico del seguro, haría reproches a sus padres por tener un hijo tan vago y se salvaría de todas las objeciones remitiéndose al médico del seguro, para el que sólo existen hombres totalmente sanos, pero con aversión al trabajo. <-> German Sentence 34: Gewiß würde der Chef mit dem Krankenkassenarzt kommen, würde den Eltern wegen des faulen Sohnes Vorwürfe machen und alle Einwände durch den Hinweis auf den Krankenkassenarzt abschneiden, für den es ja überhaupt nur ganz gesunde, aber arbeitsscheue Menschen gibt. (Cosine Similarity: 0.80)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "from fastdtw import fastdtw\n", + "def create_cosine_similarity_heatmap(cos_sim_matrix, sent1_list, sent2_list, lang1_name, lang2_name, threshold=0.6):\n", + " df = pd.DataFrame(cos_sim_matrix, index=[f\"{lang1_name}_{i}\" for i in range(len(sent1_list))], \n", + " columns=[f\"{lang2_name}_{i}\" for i in range(len(sent2_list))])\n", + "\n", + " mask = df < threshold\n", "\n", - "eng_spa_distance, eng_spa_alignment = fastdtw(eng_embeddings, spa_embeddings, dist=cosine)\n", - "eng_deu_distance, eng_deu_alignment = fastdtw(eng_embeddings, deu_embeddings, dist=cosine)\n", - "spa_deu_distance, spa_deu_alignment = fastdtw(spa_embeddings, deu_embeddings, dist=cosine)\n", + " print(f\"Sentence Pairs Above Threshold {threshold} ({lang1_name} -> {lang2_name}):\")\n", + " for i in range(len(sent1_list)):\n", + " for j in range(len(sent2_list)):\n", + " if df.iat[i, j] >= threshold:\n", + " print(f\"{lang1_name} Sentence {i}: {sent1_list[i]} <-> {lang2_name} Sentence {j}: {sent2_list[j]} (Cosine Similarity: {df.iat[i, j]:.2f})\")\n", + " \n", + " plt.figure(figsize=(10, 8))\n", + " sns.heatmap(df, mask=mask, annot=False, cmap=\"coolwarm\", cbar=True, linewidths=0.5, vmin=0, vmax=1)\n", + " plt.title(f\"Cosine Similarity Heatmap: {lang1_name} -> {lang2_name} (Threshold > {threshold})\")\n", + " plt.xlabel(f\"{lang2_name} Sentences\")\n", + " plt.ylabel(f\"{lang1_name} Sentences\")\n", + " plt.show()\n", + "\n", + "create_cosine_similarity_heatmap(eng_spa_cos_sim, eng_sentences, spa_sentences, \"English\", \"Spanish\", threshold=0.7)\n", + "create_cosine_similarity_heatmap(eng_deu_cos_sim, eng_sentences, deu_sentences, \"English\", \"German\", threshold=0.7)\n", + "create_cosine_similarity_heatmap(spa_deu_cos_sim, spa_sentences, deu_sentences, \"Spanish\", \"German\", threshold=0.7)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We may encounter special cases where the _translation_ or match between sentences in the embedding space is not 1-to-1. In such instances, a single sentence may exhibit \"good enough\" similarity with multiple sentences in the other language. Consider the following example:\n", "\n", - "def print_aligned_sentences(alignment, sent1_list, sent2_list, lang1_name, lang2_name):\n", - " print(f\"Aligned Sentence Pairs ({lang1_name} -> {lang2_name}):\")\n", - " for idx1, idx2 in zip(alignment[0], alignment[1]):\n", - " print(f\"{lang1_name}: {sent1_list[idx1]}\")\n", - " print(f\"{lang2_name}: {sent2_list[idx2]}\")\n", - " print(\"-\" * 40)\n", + "```\n", + "English Sentence 41: \"Good God,\" he thought. <-> Spanish Sentence 12: «Dios mío!», pensó. (Cosine Similarity: 0.82) \n", + "English Sentence 41: \"Good God,\" he thought. <-> Spanish Sentence 30: «¡Dios del cielo!», pensó. (Cosine Similarity: 0.82) \n", + "```\n", "\n", - "print_aligned_sentences(eng_spa_alignment, eng_sentences, spa_sentences, \"English\", \"Spanish\")\n", - "print_aligned_sentences(eng_deu_alignment, eng_sentences, deu_sentences, \"English\", \"German\")\n", - "print_aligned_sentences(spa_deu_alignment, spa_sentences, deu_sentences, \"Spanish\", \"German\")\n" + "This illustrates that the embedding space captures the implied meaning of sentences rather than relying solely on direct word-for-word translations.\n" ] }, { diff --git a/examples/eng_flores200_dev_sample.tsv b/examples/data/eng_flores200_dev_sample.tsv similarity index 100% rename from examples/eng_flores200_dev_sample.tsv rename to examples/data/eng_flores200_dev_sample.tsv diff --git a/examples/data/metamor_deu.txt b/examples/data/metamor_deu.txt new file mode 100644 index 0000000..cba34b1 --- /dev/null +++ b/examples/data/metamor_deu.txt @@ -0,0 +1 @@ +Als Gregor Samsa eines Morgens aus unruhigen Träumen erwachte, fand er sich in seinem Bett zu einem ungeheueren Ungeziefer verwandelt. Er lag auf seinem panzerartig harten Rücken und sah, wenn er den Kopf ein wenig hob, seinen gewölbten, braunen, von bogenförmigen Versteifungen geteilten Bauch, auf dessen Höhe sich die Bettdecke, zum gänzlichen Niedergleiten bereit, kaum noch erhalten konnte. Seine vielen, im Vergleich zu seinem sonstigen Umfang kläglich dünnen Beine flimmerten ihm hilflos vor den Augen. »Was ist mit mir geschehen?« dachte er. Es war kein Traum, sein Zimmer, ein richtiges, nur etwas zu kleines Menschenzimmer, lag ruhig zwischen den vier wohlbekannten Wänden, über dem Tisch, auf dem eine auseinandergepackte Musterkollektion von Tuchwaren ausgebreitet war - Samsa war Reisender -, hing das Bild, das er vor kurzem aus einer illustrierten Zeitschrift ausgeschnitten und in einem hübschen, vergoldeten Rahmen untergebracht hatte. Es stellte eine Dame dar, die, mit einem Pelzhut und einer Pelzboa versehen, aufrecht dasaß und einen schweren Pelzmuff, in dem ihr ganzer Unterarm verschwunden war, dem Beschauer entgegenhob. Gregors Blick richtete sich dann zum Fenster, und das trübe Wetter - man hörte Regentropfen auf das Fensterblech aufschlagen - machte ihn ganz melancholisch. »Wie wäre es, wenn ich noch ein wenig weiterschliefe und alle Narrheiten vergäße,« dachte er, aber das war gänzlich undurchführbar, denn er war gewöhnt, auf der rechten Seite zu schlafen, konnte sich aber in seinem gegenwärtigen Zustand nicht in diese Lage bringen. Mit welcher Kraft er sich auch auf die rechte Seite warf, immer wieder schaukelte er in die Rückenlage [1178] zurück. Er versuchte es wohl hundertmal, schloß die Augen, um die zappelnden Beine nicht sehen zu müssen und ließ erst ab, als er in der Seite einen noch nie gefühlten, leichten, dumpfen Schmerz zu fühlen begann. »Ach Gott,« dachte er, »was für einen anstrengenden Beruf habe ich gewählt! Tag aus, Tag ein auf der Reise. Die geschäftlichen Aufregungen sind viel größer, als im eigentlichen Geschäft zuhause, und außerdem ist mir noch diese Plage des Reisens auferlegt, die Sorgen um die Zuganschlüsse, das unregelmäßige, schlechte Essen, ein immer wechselnder, nie andauernder, nie herzlich werdender menschlicher Verkehr. Der Teufel soll das alles holen!« Er fühlte ein leichtes Jucken oben auf dem Bauch; schob sich auf dem Rücken langsam näher zum Bettpfosten, um den Kopf besser heben zu können; fand die juckende Stelle, die mit lauter kleinen weißen Pünktchen besetzt war, die er nicht zu beurteilen verstand; und wollte mit einem Bein die Stelle betasten, zog es aber gleich zurück, denn bei der Berührung umwehten ihn Kälteschauer. Er glitt wieder in seine frühere Lage zurück. »Dies frühzeitige Aufstehen«, dachte er, »macht einen ganz blödsinnig. Der Mensch muß seinen Schlaf haben. Andere Reisende leben wie Haremsfrauen. Wenn ich zum Beispiel im Laufe des Vormittags ins Gasthaus zurückgehe, um die erlangten Aufträge zu überschreiben, sitzen diese Herren erst beim Frühstück. Das sollte ich bei meinem Chef versuchen; ich würde auf der Stelle hinausfliegen. Wer weiß übrigens, ob das nicht sehr gut für mich wäre. Wenn ich mich nicht wegen meiner Eltern zurückhielte, ich hätte längst gekündigt, ich wäre vor den Chef hin getreten und hätte ihm meine Meinung von Grund des Herzens aus gesagt. Vom Pult hätte er fallen müssen! Es ist auch eine sonderbare Art, sich auf das Pult zu setzen und von der Höhe herab mit dem Angestellten zu reden, der überdies wegen der Schwerhörigkeit des Chefs ganz nahe herantreten muß. Nun, die Hoffnung ist noch nicht gänzlich aufgegeben; habe ich einmal das Geld beisammen, um die Schuld der Eltern an ihn abzuzahlen - es dürfte noch fünf bis sechs Jahre dauern -, mache ich die Sache unbedingt. Dann wird der große Schnitt gemacht. Vorläufig allerdings muß ich aufstehen, denn mein Zug fährt um fünf.« Und er sah zur Weckuhr hinüber, die auf dem Kasten tickte. »Himmlischer Vater,« dachte er. Es war halb sieben Uhr, und die Zeiger gingen ruhig vorwärts, es war sogar halb vorüber, es näherte sich schon dreiviertel. Sollte der Wecker nicht geläutet haben? Man sah vom Bett aus, daß er auf vier Uhr richtig eingestellt war; gewiß hatte er auch geläutet. Ja, aber war es möglich, dieses möbelerschütternde Läuten ruhig zu verschlafen? Nun, ruhig hatte er ja nicht geschlafen, aber wahrscheinlich desto fester. Was aber sollte er jetzt tun? Der nächste Zug ging um sieben Uhr; um den einzuholen, hätte er sich unsinnig beeilen müssen, und die Kollektion war noch nicht eingepackt, und er selbst fühlte sich durchaus nicht besonders frisch und beweglich. Und selbst wenn er den Zug einholte, ein Donnerwetter des Chefs war nicht zu vermeiden, denn der Geschäftsdiener hatte beim Fünfuhrzug gewartet und die Meldung von seiner Versäumnis längst erstattet. Es war eine Kreatur des Chefs, ohne Rückgrat und Verstand. Wie nun, wenn er sich krank meldete? Das war aber äußerst peinlich und verdächtig, denn Gregor war während seines fünfjährigen Dienstes noch nicht einmal krank gewesen. Gewiß würde der Chef mit dem Krankenkassenarzt kommen, würde den Eltern wegen des faulen Sohnes Vorwürfe machen und alle Einwände durch den Hinweis auf den Krankenkassenarzt abschneiden, für den es ja überhaupt nur ganz gesunde, aber arbeitsscheue Menschen gibt. Und hätte er übrigens in diesem Falle so ganz unrecht? Gregor fühlte sich tatsächlich, abgesehen von einer nach dem langen Schlaf wirklich überflüssigen Schläfrigkeit, ganz wohl und hatte sogar einen besonders kräftigen Hunger. \ No newline at end of file diff --git a/examples/data/metamor_eng.txt b/examples/data/metamor_eng.txt new file mode 100644 index 0000000..23a91bd --- /dev/null +++ b/examples/data/metamor_eng.txt @@ -0,0 +1 @@ +One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug. He lay on his armour-hard back and saw, as he lifted his head up a little, his brown, arched abdomen divided up into rigid bow-like sections. From this height the blanket, just about ready to slide off completely, could hardly stay in place. His numerous legs, pitifully thin in comparison to the rest of his circumference, flickered helplessly before his eyes. "What's happened to me," he thought. It was no dream. His room, a proper room for a human being, only somewhat too small, lay quietly between the four well-known walls. Above the table, on which an unpacked collection of sample cloth goods was spread out (Samsa was a traveling salesman) hung the picture which he had cut out of an illustrated magazine a little while ago and set in a pretty gilt frame. It was a picture of a woman with a fur hat and a fur boa. She sat erect there, lifting up in the direction of the viewer a solid fur muff into which her entire forearm disappeared. Gregor's glance then turned to the window. The dreary weather (the rain drops were falling audibly down on the metal window ledge) made him quite melancholy. "Why don't I keep sleeping for a little while longer and forget all this foolishness," he thought. But this was entirely impractical, for he was used to sleeping on his right side, and in his present state he couldn't get himself into this position. No matter how hard he threw himself onto his right side, he always rolled again onto his back. He must have tried it a hundred times, closing his eyes, so that he would not have to see the wriggling legs, and gave up only when he began to feel a light, dull pain in his side which he had never felt before. "O God," he thought, "what a demanding job I've chosen! Day in, day out on the road. The stresses of trade are much greater than the work going on at head office, and, in addition to that, I have to deal with the problems of traveling, the worries about train connections, irregular bad food, temporary and constantly changing human relationships which never come from the heart. To hell with it all!" He felt a slight itching on the top of his abdomen. He slowly pushed himself on his back closer to the bed post so that he could lift his head more easily, found the itchy part, which was entirely covered with small white spots (he did not know what to make of them), and wanted to feel the place with a leg. But he retracted it immediately, for the contact felt like a cold shower all over him. He slid back again into his earlier position. "This getting up early," he thought, "makes a man quite idiotic. A man must have his sleep. Other traveling salesmen live like harem women. For instance, when I come back to the inn during the course of the morning to write up the necessary orders, these gentlemen are just sitting down to breakfast. If I were to try that with my boss, I'd be thrown out on the spot. Still, who knows whether that mightn't be really good for me. If I didn't hold back for my parents' sake, I would've quit ages ago. I would've gone to the boss and told him just what I think from the bottom of my heart. He would've fallen right off his desk! How weird it is to sit up at the desk and talk down to the employee from way up there. The boss has trouble hearing, so the employee has to step up quite close to him. Anyway, I haven't completely given up that hope yet. Once I've got together the money to pay off the parents' debt to him--that should take another five or six years--I'll do it for sure. Then I'll make the big break. In any case, right now I have to get up. My train leaves at five o'clock." And he looked over at the alarm clock ticking away by the chest of drawers. "Good God," he thought. It was half past six, and the hands were going quietly on. It was past the half hour, already nearly quarter to. Could the alarm have failed to ring? One saw from the bed that it was properly set for four o'clock. Certainly it had rung. Yes, but was it possible to sleep through this noise that made the furniture shake? Now, it's true he'd not slept quietly, but evidently he'd slept all the more deeply. Still, what should he do now? The next train left at seven o'clock. To catch that one, he would have to go in a mad rush. The sample collection wasn't packed up yet, and he really didn't feel particularly fresh and active. And even if he caught the train, there was no avoiding a blow up with the boss, because the firm's errand boy would've waited for the five o'clock train and reported the news of his absence long ago. He was the boss's minion, without backbone or intelligence. Well then, what if he reported in sick? But that would be extremely embarrassing and suspicious, because during his five years' service Gregor hadn't been sick even once. The boss would certainly come with the doctor from the health insurance company and would reproach his parents for their lazy son and cut short all objections with the insurance doctor's comments; for him everyone was completely healthy but really lazy about work. And besides, would the doctor in this case be totally wrong? Apart from a really excessive drowsiness after the long sleep, Gregor in fact felt quite well and even had a really strong appetite. \ No newline at end of file diff --git a/examples/data/metamor_spa.txt b/examples/data/metamor_spa.txt new file mode 100644 index 0000000..b9e2ef5 --- /dev/null +++ b/examples/data/metamor_spa.txt @@ -0,0 +1 @@ +Cuando Gregorio Samsa se despertó una mañana después de un sueño intranquilo, se encontró sobre su cama convertido en un monstruoso insecto. Estaba tumbado sobre su espalda dura, y en forma de caparazón y, al levantar un poco la cabeza, veía un vientre abombado, parduzco, dividido por partes duras en forma de arco, sobre cuya protuberancia apenas podía mantenerse el cobertor, a punto ya de resbalar al suelo. Sus muchas patas, ridículamente pequeñas en comparación con el resto de su tamaño, le vibraban desamparadas ante los ojos. «¿Qué me ha ocurrido?», pensó. No era un sueño. Su habitación, una auténtica habitación humana, si bien algo pequeña, permanecía tranquila entre las cuatro paredes harto conocidas. Por encima de la mesa, sobre la que se encontraba extendido un muestrario de paños desempaquetados – Samsa era viajante de comercio –, estaba colgado aquel cuadro, que hacía poco había recortado de una revista y había colocado en un bonito marco dorado. Representaba a una dama ataviada con un sombrero y una boa” de piel, que estaba allí, sentada muy erguida y levantaba hacia el observador un pesado manguito de piel, en el cual había desaparecido su antebrazo. La mirada de Gregorio se dirigió después hacia la ventana, y el tiempo lluvioso se oían caer gotas de lluvia sobre la chapa del alfeizar de la ventana – le ponía muy melancólico. « ¿Qué pasaría – pensó – si durmiese un poco más y olvidase todas las chifladuras?» Pero esto era algo absolutamente imposible, porque estaba acostumbrado a dormir del lado derecho, pero en su estado actual no podía ponerse de ese lado. Aunque se lanzase con mucha fuerza hacia el lado derecho, una y otra vez se volvía a balancear sobre la espalda. Lo intentó cien veces, cerraba los ojos para no tener que ver las patas que pataleaban, y sólo cejaba en su empeño cuando comenzaba a notar en el costado un dolor leve y sordo que antes nunca había sentido. «Dios mío!», pensó. «¡Qué profesión tan dura he elegido! Un día sí y otro también de viaje. Los esfuerzos profesionales son mucho mayores que en el mismo almacén de la ciudad, y además se me ha endosado este ajetreo de viajar, el estar al tanto de los empalmes de tren, la comida mala y a deshora, una relación humana constantemente cambiante, nunca duradera, que jamás llega a ser cordial. ¡Que se vaya todo al diablo!» Sintió sobre el vientre un leve picor, con la espalda se deslizó lentamente más cerca de la cabecera de la cama para poder levantar mejor la cabeza; se encontró con que la parte que le picaba estaba totalmente cubierta por unos pequeños puntos blancos, que no sabía a qué se debían, y quiso palpar esa parte con una pata, pero inmediatamente la retiró, porque el roce le producía escalofríos. Se deslizó de nuevo a su posición inicial. «Esto de levantarse pronto», pensó, «le hace a uno desvariar. El hombre tiene que dormir. Otros viajantes viven como pachás”. Si yo, por ejemplo, a lo largo de la mañana vuelvo a la pensión para pasar a limpio los pedidos que he conseguido, estos señores todavía están sentados tomando el desayuno. Eso podría intentar yo con mi jefe, en ese momento iría a parar a la calle. Quién sabe, por lo demás, si no sería lo mejor para mí. Si no tuviera que dominarme por mis padres, ya me habría despedido hace tiempo, me habría presentado ante el jefe y le habría dicho mi opinión con toda mi alma. ¡Se habría caído de la mesa! Sí que es una extraña costumbre la de sentarse sobre la mesa y, desde esa altura, hablar hacia abajo con el empleado que, además, por culpa de la sordera del jefe, tiene que acercarse mucho. Bueno, la esperanza todavía no está perdida del todo; si alguna vez tengo el dinero suficiente para pagar las deudas que mis padres tienen con él – puedo tardar todavía entre cinco y seis años – lo hago con toda seguridad. Entonces habrá llegado el gran momento, ahora, por lo pronto, tengo que levantarme porque el tren sale a las cinco», y miró hacia el despertador que hacía tictac sobre el armario. «¡Dios del cielo!», pensó. Eran las seis y media y las manecillas seguían tranquilamente hacia delante, ya había pasado incluso la media, eran ya casi las menos cuarto. ¿Es que no habría sonado el despertador?» Desde la cama se veía que estaba correctamente puesto a las cuatro, seguro que también había sonado. Sí, pero... ¿Era posible seguir durmiendo tan tranquilo con ese ruido que hacía temblar los muebles? Bueno, tampoco había dormido tranquilo, pero quizá tanto más profundamente. ¿Qué iba a hacer ahora? El siguiente tren salía a las siete, para cogerlo tendría que haberse dado una prisa loca, el muestrario todavía no estaba empaquetado, y él mismo no se encontraba especialmente espabilado y ágil; e incluso si consiguiese coger el tren, no se podía evitar una reprimenda del jefe, porque el mozo de los recados habría esperado en el tren de las cinco y ya hacía tiempo que habría dado parte de su descuido. Era un esclavo del jefe, sin agallas ni juicio. ¿Qué pasaría si dijese que estaba enfermo? Pero esto sería sumamente desagradable y sospechoso, porque Gregorio no había estado enfermo ni una sola vez durante los cinco años de servicio. Seguramente aparecería el jefe con el médico del seguro, haría reproches a sus padres por tener un hijo tan vago y se salvaría de todas las objeciones remitiéndose al médico del seguro, para el que sólo existen hombres totalmente sanos, pero con aversión al trabajo. ¿Y es que en este caso no tendría un poco de razón? Gregorio, a excepción de una modorra realmente superflua después del largo sueño, se encontraba bastante bien e incluso tenía mucha hambre. \ No newline at end of file diff --git a/examples/inference_pipelines.ipynb b/examples/inference_pipelines.ipynb index 4efa62b..c981864 100644 --- a/examples/inference_pipelines.ipynb +++ b/examples/inference_pipelines.ipynb @@ -27,7 +27,7 @@ "metadata": {}, "outputs": [], "source": [ - "%pip install sonar-space" + "%pip install --quiet sonar-space" ] }, { @@ -234,7 +234,7 @@ } ], "source": [ - "data_source = \"./eng_flores200_dev_sample.tsv\"\n", + "data_source = \"./data/eng_flores200_dev_sample.tsv\"\n", "text_emb = text_embedding_pipeline.predict(data_source, source_lang=\"eng_Latn\")\n", "text_emb" ] @@ -269,13 +269,6 @@ "text_translation = text_to_text_pipeline.predict(data_source, source_lang=\"eng_Latn\", target_lang=\"fra_Latn\")\n", "text_translation" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/examples/sonar_text_demo.ipynb b/examples/sonar_text_demo.ipynb index 7af9c92..62866bf 100644 --- a/examples/sonar_text_demo.ipynb +++ b/examples/sonar_text_demo.ipynb @@ -13,7 +13,7 @@ "metadata": {}, "outputs": [], "source": [ - "%pip install sonar-space seaborn pandas" + "%pip install --quiet sonar-space seaborn pandas" ] }, { From 982c5fe337c9c9498aae3e6fc50bc7859a7b12c4 Mon Sep 17 00:00:00 2001 From: David-OC17 Date: Fri, 18 Oct 2024 14:39:38 -0600 Subject: [PATCH 4/4] Side-by-side view of bilingual document --- examples/bilingual_document.ipynb | 371 ++++++++++++++++++++++++++++-- 1 file changed, 353 insertions(+), 18 deletions(-) diff --git a/examples/bilingual_document.ipynb b/examples/bilingual_document.ipynb index 02dfa2b..c47a429 100644 --- a/examples/bilingual_document.ipynb +++ b/examples/bilingual_document.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -39,6 +39,7 @@ "from pprint import pprint\n", "from sentence_splitter import SentenceSplitter\n", "from scipy.spatial.distance import cosine\n", + "from fastdtw import fastdtw\n", "\n", "import torch\n", "device = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"cpu\")" @@ -46,7 +47,25 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.metrics.pairwise import cosine_similarity\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "from pprint import pprint\n", + "from sentence_splitter import SentenceSplitter\n", + "from scipy.spatial.distance import cosine\n", + "\n", + "import torch\n", + "device = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"cpu\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -72,7 +91,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -102,7 +121,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -117,7 +136,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -182,22 +201,12 @@ "\n", "`eng_spa_alignment` contains the actual alignment (or mapping) between the indices of (English and Spanish). The 'cosine' distance is used to measure how similar or dissimilar the embeddings are at each point.\n", "\n", - "`eng_spa_distance` is the total minimal distance between the two sequences of embeddings the two sequences (English and Spanish embeddings), i.e., which English sentence aligns with which Spanish sentence based on the dynamic time warping (DTW) algorithm.\n", - "\n", - "#### FastDTW\n", - "\n", - "`FastDTW` (Fast Dynamic Time Warping) is an optimized version of Dynamic Time Warping (DTW), which is a distance measure used to align two sequences of data that may vary in time or length. DTW finds the optimal alignment by minimizing the distance between the sequences, typically for time series data. It allows for stretching or compressing parts of the sequences to find a better match.\n", - "\n", - "The key characteristic of DTW is that it ensures **monotonic alignment**, meaning that the sequence of aligned points progresses consistently without reversing. This property is crucial for aligning bilingual texts, where each sentence or phrase in one language should align in the same order with the corresponding sentences in another language, maintaining the logical sequence.\n", - "\n", - "`FastDTW` speeds up the computation while approximating the results of traditional DTW, making it more efficient for larger datasets or longer sequences.\n", - "\n", - "For more information on `FastDTW` see [this](https://cs.fit.edu/~pkc/papers/tdm04.pdf)." + "`eng_spa_distance` is the total minimal distance between the two sequences of embeddings the two sequences (English and Spanish embeddings), i.e., which English sentence aligns with which Spanish sentence based on the dynamic time warping (DTW) algorithm.\n" ] }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -338,6 +347,332 @@ "This illustrates that the embedding space captures the implied meaning of sentences rather than relying solely on direct word-for-word translations.\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Creating a Bilingual Book to Read\n", + "\n", + "In this example notebook, one of the applications of the alignment is to create a **bilingual notebook**. This book provides a side-by-side comparison of sentences from different languages. The comparison is made possible by calculating the optimal path through which to traverse the embedding space, considering the cosine similarity at each point. To achieve this efficiently, one can utilize the **FastDTW** algorithm. Note that for this example we are only reconstructing a side-by-side view of the books from what the source of the books provides, but may also be used on texts that where not aligned before.\n", + "\n", + "#### FastDTW\n", + "\n", + "**FastDTW** (Fast Dynamic Time Warping) is an optimized version of Dynamic Time Warping (DTW), a distance measure used to align two sequences of data that may vary in time or length. DTW identifies the optimal alignment by minimizing the distance between the sequences, typically for time series data. It allows for stretching or compressing parts of the sequences to achieve a better match.\n", + "\n", + "A key characteristic of DTW is that it ensures **monotonic alignment**, meaning the sequence of aligned points progresses consistently without reversing. This property is crucial for aligning bilingual texts, where each sentence or phrase in one language should correspond in order with the sentences in another language, preserving the logical sequence.\n", + "\n", + "**Note:** The current alignment implementation does not maintain monotonicity; for example, it may incorrectly match **English Sentence 41 with Spanish Sentence 12**, which disrupts the logical order of the sentences.\n", + "\n", + "FastDTW enhances the speed of computation while approximating the results of traditional DTW, making it more efficient for larger datasets or longer sequences.\n", + "\n", + "For more information on **FastDTW**, see [this](https://cs.fit.edu/~pkc/papers/tdm04.pdf).\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
English SentenceSpanish Sentence
One morning, as Gregor Samsa was waking up from anxious dreams, he discovered that in bed he had been changed into a monstrous verminous bug.Cuando Gregorio Samsa se despertó una mañana después de un sueño intranquilo, se encontró sobre su cama convertido en un monstruoso insecto.
He lay on his armour-hard back and saw, as he lifted his head up a little, his brown, arched abdomen divided up into rigid bow-like sections.Estaba tumbado sobre su espalda dura, y en forma de caparazón y, al levantar un poco la cabeza, veía un vientre abombado, parduzco, dividido por partes duras en forma de arco, sobre cuya protuberancia apenas podía mantenerse el cobertor, a punto ya de resbalar al suelo.
From this height the blanket, just about ready to slide off completely, could hardly stay in place.Estaba tumbado sobre su espalda dura, y en forma de caparazón y, al levantar un poco la cabeza, veía un vientre abombado, parduzco, dividido por partes duras en forma de arco, sobre cuya protuberancia apenas podía mantenerse el cobertor, a punto ya de resbalar al suelo.
His numerous legs, pitifully thin in comparison to the rest of his circumference, flickered helplessly before his eyes.Sus muchas patas, ridículamente pequeñas en comparación con el resto de su tamaño, le vibraban desamparadas ante los ojos.
\"What's happened to me,\" he thought.«¿Qué me ha ocurrido?», pensó.
It was no dream.No era un sueño.
His room, a proper room for a human being, only somewhat too small, lay quietly between the four well-known walls.Su habitación, una auténtica habitación humana, si bien algo pequeña, permanecía tranquila entre las cuatro paredes harto conocidas.
Above the table, on which an unpacked collection of sample cloth goods was spread out (Samsa was a traveling salesman) hung the picture which he had cut out of an illustrated magazine a little while ago and set in a pretty gilt frame.Por encima de la mesa, sobre la que se encontraba extendido un muestrario de paños desempaquetados – Samsa era viajante de comercio –, estaba colgado aquel cuadro, que hacía poco había recortado de una revista y había colocado en un bonito marco dorado.
It was a picture of a woman with a fur hat and a fur boa.Representaba a una dama ataviada con un sombrero y una boa” de piel, que estaba allí, sentada muy erguida y levantaba hacia el observador un pesado manguito de piel, en el cual había desaparecido su antebrazo.
She sat erect there, lifting up in the direction of the viewer a solid fur muff into which her entire forearm disappeared.Representaba a una dama ataviada con un sombrero y una boa” de piel, que estaba allí, sentada muy erguida y levantaba hacia el observador un pesado manguito de piel, en el cual había desaparecido su antebrazo.
Gregor's glance then turned to the window.La mirada de Gregorio se dirigió después hacia la ventana, y el tiempo lluvioso se oían caer gotas de lluvia sobre la chapa del alfeizar de la ventana – le ponía muy melancólico. « ¿Qué pasaría – pensó – si durmiese un poco más y olvidase todas las chifladuras?»
The dreary weather (the rain drops were falling audibly down on the metal window ledge) made him quite melancholy.La mirada de Gregorio se dirigió después hacia la ventana, y el tiempo lluvioso se oían caer gotas de lluvia sobre la chapa del alfeizar de la ventana – le ponía muy melancólico. « ¿Qué pasaría – pensó – si durmiese un poco más y olvidase todas las chifladuras?»
\"Why don't I keep sleeping for a little while longer and forget all this foolishness,\" he thought.La mirada de Gregorio se dirigió después hacia la ventana, y el tiempo lluvioso se oían caer gotas de lluvia sobre la chapa del alfeizar de la ventana – le ponía muy melancólico. « ¿Qué pasaría – pensó – si durmiese un poco más y olvidase todas las chifladuras?»
But this was entirely impractical, for he was used to sleeping on his right side, and in his present state he couldn't get himself into this position.Pero esto era algo absolutamente imposible, porque estaba acostumbrado a dormir del lado derecho, pero en su estado actual no podía ponerse de ese lado.
No matter how hard he threw himself onto his right side, he always rolled again onto his back.Aunque se lanzase con mucha fuerza hacia el lado derecho, una y otra vez se volvía a balancear sobre la espalda.
He must have tried it a hundred times, closing his eyes, so that he would not have to see the wriggling legs, and gave up only when he began to feel a light, dull pain in his side which he had never felt before.Lo intentó cien veces, cerraba los ojos para no tener que ver las patas que pataleaban, y sólo cejaba en su empeño cuando comenzaba a notar en el costado un dolor leve y sordo que antes nunca había sentido.
\"O God,\" he thought, \"what a demanding job I've chosen!«Dios mío!», pensó.
\"O God,\" he thought, \"what a demanding job I've chosen!«¡Qué profesión tan dura he elegido!
Day in, day out on the road.Un día sí y otro también de viaje.
The stresses of trade are much greater than the work going on at head office, and, in addition to that, I have to deal with the problems of traveling, the worries about train connections, irregular bad food, temporary and constantly changing human relationships which never come from the heart.Los esfuerzos profesionales son mucho mayores que en el mismo almacén de la ciudad, y además se me ha endosado este ajetreo de viajar, el estar al tanto de los empalmes de tren, la comida mala y a deshora, una relación humana constantemente cambiante, nunca duradera, que jamás llega a ser cordial.
To hell with it all!\"¡Que se vaya todo al diablo!»
He felt a slight itching on the top of his abdomen.Sintió sobre el vientre un leve picor, con la espalda se deslizó lentamente más cerca de la cabecera de la cama para poder levantar mejor la cabeza; se encontró con que la parte que le picaba estaba totalmente cubierta por unos pequeños puntos blancos, que no sabía a qué se debían, y quiso palpar esa parte con una pata, pero inmediatamente la retiró, porque el roce le producía escalofríos.
He slowly pushed himself on his back closer to the bed post so that he could lift his head more easily, found the itchy part, which was entirely covered with small white spots (he did not know what to make of them), and wanted to feel the place with a leg.Sintió sobre el vientre un leve picor, con la espalda se deslizó lentamente más cerca de la cabecera de la cama para poder levantar mejor la cabeza; se encontró con que la parte que le picaba estaba totalmente cubierta por unos pequeños puntos blancos, que no sabía a qué se debían, y quiso palpar esa parte con una pata, pero inmediatamente la retiró, porque el roce le producía escalofríos.
But he retracted it immediately, for the contact felt like a cold shower all over him.Sintió sobre el vientre un leve picor, con la espalda se deslizó lentamente más cerca de la cabecera de la cama para poder levantar mejor la cabeza; se encontró con que la parte que le picaba estaba totalmente cubierta por unos pequeños puntos blancos, que no sabía a qué se debían, y quiso palpar esa parte con una pata, pero inmediatamente la retiró, porque el roce le producía escalofríos.
He slid back again into his earlier position.Se deslizó de nuevo a su posición inicial.
\"This getting up early,\" he thought, \"makes a man quite idiotic.«Esto de levantarse pronto», pensó, «le hace a uno desvariar.
A man must have his sleep.El hombre tiene que dormir.
Other traveling salesmen live like harem women.Otros viajantes viven como pachás”.
For instance, when I come back to the inn during the course of the morning to write up the necessary orders, these gentlemen are just sitting down to breakfast.Si yo, por ejemplo, a lo largo de la mañana vuelvo a la pensión para pasar a limpio los pedidos que he conseguido, estos señores todavía están sentados tomando el desayuno.
If I were to try that with my boss, I'd be thrown out on the spot.Eso podría intentar yo con mi jefe, en ese momento iría a parar a la calle.
Still, who knows whether that mightn't be really good for me.Quién sabe, por lo demás, si no sería lo mejor para mí.
If I didn't hold back for my parents' sake, I would've quit ages ago.Si no tuviera que dominarme por mis padres, ya me habría despedido hace tiempo, me habría presentado ante el jefe y le habría dicho mi opinión con toda mi alma.
I would've gone to the boss and told him just what I think from the bottom of my heart.Si no tuviera que dominarme por mis padres, ya me habría despedido hace tiempo, me habría presentado ante el jefe y le habría dicho mi opinión con toda mi alma.
He would've fallen right off his desk!¡Se habría caído de la mesa!
How weird it is to sit up at the desk and talk down to the employee from way up there.Sí que es una extraña costumbre la de sentarse sobre la mesa y, desde esa altura, hablar hacia abajo con el empleado que, además, por culpa de la sordera del jefe, tiene que acercarse mucho.
The boss has trouble hearing, so the employee has to step up quite close to him.Sí que es una extraña costumbre la de sentarse sobre la mesa y, desde esa altura, hablar hacia abajo con el empleado que, además, por culpa de la sordera del jefe, tiene que acercarse mucho.
Anyway, I haven't completely given up that hope yet.Bueno, la esperanza todavía no está perdida del todo; si alguna vez tengo el dinero suficiente para pagar las deudas que mis padres tienen con él – puedo tardar todavía entre cinco y seis años – lo hago con toda seguridad.
Once I've got together the money to pay off the parents' debt to him--that should take another five or six years--I'll do it for sure.Bueno, la esperanza todavía no está perdida del todo; si alguna vez tengo el dinero suficiente para pagar las deudas que mis padres tienen con él – puedo tardar todavía entre cinco y seis años – lo hago con toda seguridad.
Then I'll make the big break.Entonces habrá llegado el gran momento, ahora, por lo pronto, tengo que levantarme porque el tren sale a las cinco», y miró hacia el despertador que hacía tictac sobre el armario.
In any case, right now I have to get up.Entonces habrá llegado el gran momento, ahora, por lo pronto, tengo que levantarme porque el tren sale a las cinco», y miró hacia el despertador que hacía tictac sobre el armario.
My train leaves at five o'clock.\"Entonces habrá llegado el gran momento, ahora, por lo pronto, tengo que levantarme porque el tren sale a las cinco», y miró hacia el despertador que hacía tictac sobre el armario.
And he looked over at the alarm clock ticking away by the chest of drawers.Entonces habrá llegado el gran momento, ahora, por lo pronto, tengo que levantarme porque el tren sale a las cinco», y miró hacia el despertador que hacía tictac sobre el armario.
\"Good God,\" he thought.«¡Dios del cielo!», pensó.
It was half past six, and the hands were going quietly on.Eran las seis y media y las manecillas seguían tranquilamente hacia delante, ya había pasado incluso la media, eran ya casi las menos cuarto.
It was past the half hour, already nearly quarter to.Eran las seis y media y las manecillas seguían tranquilamente hacia delante, ya había pasado incluso la media, eran ya casi las menos cuarto.
Could the alarm have failed to ring?¿Es que no habría sonado el despertador?»
One saw from the bed that it was properly set for four o'clock.Desde la cama se veía que estaba correctamente puesto a las cuatro, seguro que también había sonado.
Certainly it had rung.Sí, pero...
Yes, but was it possible to sleep through this noise that made the furniture shake?¿Era posible seguir durmiendo tan tranquilo con ese ruido que hacía temblar los muebles?
Now, it's true he'd not slept quietly, but evidently he'd slept all the more deeply.Bueno, tampoco había dormido tranquilo, pero quizá tanto más profundamente.
Still, what should he do now?¿Qué iba a hacer ahora?
The next train left at seven o'clock.¿Qué iba a hacer ahora?
To catch that one, he would have to go in a mad rush.¿Qué iba a hacer ahora?
The sample collection wasn't packed up yet, and he really didn't feel particularly fresh and active.El siguiente tren salía a las siete, para cogerlo tendría que haberse dado una prisa loca, el muestrario todavía no estaba empaquetado, y él mismo no se encontraba especialmente espabilado y ágil; e incluso si consiguiese coger el tren, no se podía evitar una reprimenda del jefe, porque el mozo de los recados habría esperado en el tren de las cinco y ya hacía tiempo que habría dado parte de su descuido.
And even if he caught the train, there was no avoiding a blow up with the boss, because the firm's errand boy would've waited for the five o'clock train and reported the news of his absence long ago.El siguiente tren salía a las siete, para cogerlo tendría que haberse dado una prisa loca, el muestrario todavía no estaba empaquetado, y él mismo no se encontraba especialmente espabilado y ágil; e incluso si consiguiese coger el tren, no se podía evitar una reprimenda del jefe, porque el mozo de los recados habría esperado en el tren de las cinco y ya hacía tiempo que habría dado parte de su descuido.
He was the boss's minion, without backbone or intelligence.Era un esclavo del jefe, sin agallas ni juicio.
Well then, what if he reported in sick?¿Qué pasaría si dijese que estaba enfermo?
But that would be extremely embarrassing and suspicious, because during his five years' service Gregor hadn't been sick even once.Pero esto sería sumamente desagradable y sospechoso, porque Gregorio no había estado enfermo ni una sola vez durante los cinco años de servicio.
The boss would certainly come with the doctor from the health insurance company and would reproach his parents for their lazy son and cut short all objections with the insurance doctor's comments; for him everyone was completely healthy but really lazy about work.Seguramente aparecería el jefe con el médico del seguro, haría reproches a sus padres por tener un hijo tan vago y se salvaría de todas las objeciones remitiéndose al médico del seguro, para el que sólo existen hombres totalmente sanos, pero con aversión al trabajo.
And besides, would the doctor in this case be totally wrong?¿Y es que en este caso no tendría un poco de razón?
Apart from a really excessive drowsiness after the long sleep, Gregor in fact felt quite well and even had a really strong appetite.Gregorio, a excepción de una modorra realmente superflua después del largo sueño, se encontraba bastante bien e incluso tenía mucha hambre.
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def dtw_align(eng_embeddings, spa_embeddings):\n", + " alignments = []\n", + " \n", + " distance, path = fastdtw(eng_embeddings.numpy(), spa_embeddings.numpy(), dist=cosine)\n", + " alignments.append(path)\n", + " \n", + " return alignments\n", + "\n", + "eng_spa_alignments = dtw_align(eng_embeddings, spa_embeddings)\n", + "\n", + "\n", + "eng_spa_alignments = dtw_align(eng_embeddings, spa_embeddings)\n", + "\n", + "alignment_table = []\n", + "\n", + "for (eng_idx, spa_idx) in eng_spa_alignments[0]:\n", + " eng_sentence = eng_sentences[eng_idx] if eng_idx < len(eng_sentences) else \"\"\n", + " spa_sentence = spa_sentences[spa_idx] if spa_idx < len(spa_sentences) else \"\"\n", + " \n", + " alignment_table.append((eng_sentence, spa_sentence))\n", + "\n", + "bilingual_df = pd.DataFrame(alignment_table, columns=[\"English Sentence\", \"Spanish Sentence\"])\n", + "pd.set_option('display.max_colwidth', None)\n", + "\n", + "html_table = bilingual_df.to_html(index=False)\n", + "with open(\"bilingual_book.html\", \"w\") as f:\n", + " f.write(html_table)\n", + "\n", + "from IPython.display import display, HTML\n", + "display(HTML(bilingual_df.to_html(index=False)))\n", + "\n" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -350,7 +685,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "Python 3", "language": "python", "name": "python3" },