updating data for batch codes
This commit is contained in:
@@ -6,10 +6,10 @@
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"id": "9de5907f-18f5-4cb1-903e-26028ff1fa03",
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@@ -17,11 +17,11 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2023-01-17 17:34:50.761389: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: SSE4.1 SSE4.2 AVX AVX2 AVX512F FMA\n",
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"2023-01-18 17:35:11.005213: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: SSE4.1 SSE4.2 AVX AVX2 AVX512F FMA\n",
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"To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
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"2023-01-17 17:34:52.054897: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: SSE4.1 SSE4.2 AVX AVX2 AVX512F FMA\n",
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"2023-01-18 17:35:12.477181: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: SSE4.1 SSE4.2 AVX AVX2 AVX512F FMA\n",
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"To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
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"2023-01-17 17:34:52.056418: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.\n"
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"2023-01-18 17:35:12.478483: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.\n"
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]
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}
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],
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@@ -46,10 +46,10 @@
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"id": "d1e4fa9e",
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"outputs": [
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@@ -57,7 +57,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"17.01.2023, 17:34:52 Uhr\n"
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"18.01.2023, 17:35:12 Uhr\n"
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]
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}
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],
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@@ -71,10 +71,10 @@
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"id": "ffad1c04",
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"metadata": {
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"execution": {
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"outputs": [
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@@ -102,10 +102,10 @@
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"id": "194b7357",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-01-17T17:34:52.541660Z",
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"shell.execute_reply": "2023-01-18T17:35:13.272841Z"
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}
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},
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"outputs": [],
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@@ -119,10 +119,10 @@
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"id": "a793dff0",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-01-17T17:34:52.547247Z",
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"iopub.status.busy": "2023-01-17T17:34:52.546688Z",
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"iopub.status.idle": "2023-01-17T17:36:48.928827Z",
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"shell.execute_reply": "2023-01-17T17:36:48.928201Z"
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"iopub.execute_input": "2023-01-18T17:35:13.276129Z",
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"iopub.status.idle": "2023-01-18T17:39:09.239722Z",
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"shell.execute_reply": "2023-01-18T17:39:09.238997Z"
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}
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"outputs": [
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@@ -130,7 +130,7 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"[WDM] - Downloading: 100%|██████████| 6.96M/6.96M [00:00<00:00, 125MB/s]\n"
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"[WDM] - Downloading: 100%|██████████| 6.96M/6.96M [00:00<00:00, 30.5MB/s]\n"
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]
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},
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{
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@@ -171,126 +171,17 @@
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"Trainable params: 445,400\n",
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"Non-trainable params: 0\n",
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"_________________________________________________________________\n",
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"1/1 [==============================] - 1s 1s/step\n"
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"1/1 [==============================] - 1s 1s/step\n",
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"textInCaptchaImage: bdB1fb\n",
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"1/1 [==============================] - 0s 35ms/step\n",
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"textInCaptchaImage: 48AFF9\n",
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"1/1 [==============================] - 0s 34ms/step\n",
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"1/1 [==============================] - 0s 39ms/step\n",
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"textInCaptchaImage: 315B9D\n"
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"'textInCaptchaImage: '"
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"text": [
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"1/1 [==============================] - 0s 35ms/step\n"
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"1/1 [==============================] - 0s 30ms/step\n"
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"source": [
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@@ -305,10 +196,10 @@
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"id": "781ac80e",
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"outputs": [
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@@ -608,10 +499,10 @@
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"id": "8d6507ca",
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"metadata": {
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"outputs": [],
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@@ -625,10 +516,10 @@
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"id": "0915aa5a",
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"metadata": {
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"execution": {
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}
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"outputs": [
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@@ -1644,7 +1535,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.8"
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"version": "3.10.9"
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},
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"vscode": {
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"interpreter": {
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